Remote Data Science Jobs

Yesterday

Enterprise Account Executive - Ohio
Dataiku  
executive data science big data Jun 23
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

Dataiku is looking for an experienced Account Executive to join our team and cover the Ohio, Michigan and Kentucky. Since the launch of our company in the US, we have experienced healthy growth and steady market demand. This is an individual contributor position, newly added due to business expansion.

We’re looking for someone who can express passion about new technologies and the possibilities of Big Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network in the Ohio region. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform DSS.

The Account Executive is responsible for the entire sales cycle, while being able to leverage various company resources, to reach a successful collaboration with the prospect. Dataiku has great momentum and at this early stage, the Account Executive is likely to work cross functionally with Marketing, Product Management and Engineering.

You might be a good fit if you have:

  • 10+ years experience in software field sales
  • Strong belief in a customer centric selling philosophy and applying a consultative approach in customer interactions
  • Background in selling innovation and new concepts to large Enterprises
  • Strong ability to develop a vision match with prospects and customers, to develop alignment across different groups and cultivate champions
  • Good articulation of competitive positioning
  • Comfortable traveling 30 to 50%
  • Desired Skills Experience in ‘data’ – big data, analytics, data science, BI/DW, data integration
  • Early start-up experience a plus!

Benefits:

  • Opportunity to join Dataiku early on and help scale the company
  • Competitive compensation package, equity, health benefits, and paid vacation
  • Trips to Paris, our European HQ (post Covid)
  • Opportunity to work with a smart, passionate and driven team
  • Dataiku has a strong culture based on key values: Ownership, Passion, Autonomy and Friendliness
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Enterprise Account Executive - Ohio
Dataiku  
executive data science big data Jun 23
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

Dataiku is looking for an experienced Account Executive to join our team and cover the Ohio, Michigan and Kentucky. Since the launch of our company in the US, we have experienced healthy growth and steady market demand. This is an individual contributor position, newly added due to business expansion.

We’re looking for someone who can express passion about new technologies and the possibilities of Big Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network in the Ohio region. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform DSS.

The Account Executive is responsible for the entire sales cycle, while being able to leverage various company resources, to reach a successful collaboration with the prospect. Dataiku has great momentum and at this early stage, the Account Executive is likely to work cross functionally with Marketing, Product Management and Engineering.

You might be a good fit if you have:

  • 10+ years experience in software field sales
  • Strong belief in a customer centric selling philosophy and applying a consultative approach in customer interactions
  • Background in selling innovation and new concepts to large Enterprises
  • Strong ability to develop a vision match with prospects and customers, to develop alignment across different groups and cultivate champions
  • Good articulation of competitive positioning
  • Comfortable traveling 30 to 50%
  • Desired Skills Experience in ‘data’ – big data, analytics, data science, BI/DW, data integration
  • Early start-up experience a plus!

Benefits:

  • Opportunity to join Dataiku early on and help scale the company
  • Competitive compensation package, equity, health benefits, and paid vacation
  • Trips to Paris, our European HQ (post Covid)
  • Opportunity to work with a smart, passionate and driven team
  • Dataiku has a strong culture based on key values: Ownership, Passion, Autonomy and Friendliness
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Last Week

Sr. Analyst, Acquisition
Loom  
python data science Jun 21
About Loom
Loom is on a mission to empower everyone at work to communicate more effectively, wherever they are. We are already trusted by over 10M users across 120k+ companies. Our customers are global and use Loom at work at world-class companies including Netflix, HubSpot, Atlassian, Juniper Networks, and Twitter.

Founded in 2015, Loom has raised over $200 million from top-tier investors including Sequoia Capital, Kleiner Perkins, Coatue, and Andreessen Horowitz.

The Role:
We’re looking to add a Senior Analyst to our growing Data team to help us measure the impact of our Acquisition initiatives (Marketing and Sales) and identify growth and optimization opportunities to unlock the next stage of Loom’s growth.

We have rich, complex datasets and our team performs a wide variety of analytical tasks, ranging from conducting ad-hoc research, creating dashboards, building funnels, and crafting complex database queries and ETL pipelines. The ideal candidate will be data-driven, enthusiastically curious, and a clear communicator.

Your Responsibilities

  • Measure the impact of Acquisition initiatives (Marketing & Sales) and identify growth and optimization opportunities
  • Partner with Marketing and Sales teams to provide data support through dashboards, analyses and adhoc requests
  • Design and develop core business metrics, create insightful automated dashboards (and the necessary data pipelines) and data visualization to track progress
  • Build marketing attribution to understand where users are coming from, ROI on campaigns and lifetime value model to inform customer acquisition costs
  • Proactively derive data insights and turn them into growth recommendations, communicate results and learnings to the rest of the team
  • Develop a thorough understanding of traffic, funnels, conversion rates and user behavior using large clickstream event data (from web and mobile apps)

What We're Looking For

  • 5+ years of experience in a data science or analytics role turning data into insights and recommendations
  • Strong analytical and communication skills with the ability to synthesize insights into compelling stories
  • Experience working with sales and marketing teams
  • Proficiency in SQL (Snowflake, Postgres) - able to write structured and efficient queries on large data sets
  • Experience with a Business Intelligence tool (e.g. Tableau or Mode)
  • Experience with a statistical scripting language (e.g. Python or R) is a plus
  • Experience with Google Analytics and the underlying data in BigQuery is a plus
  • Experience with ETL tools such as Airflow or DBT is a plus
  • A Bachelor’s Degree in a quantitative field or higher


How We Work
Freedom and Flexibility: At Loom, we believe work is an act, not a place. When we disengage work from a location, we can accommodate a broad range of life choices. You can choose to work from home or while you travel. If you are in the Bay Area, you can drop by our San Francisco office on 2nd and Market St. when reopens in Fall 2021. We are able to hire across the United States and Canada* and are continuing to expand our international presence. And you are free to move within a country without any adjustment to compensation.

Engaging Workday: The key to an engaging workday is finding the right balance between different ways to work sync, async, text and video. Loom makes it easier for us to say what we mean without having to schedule a zoom meeting or struggle to find the right words. And using async communication allows us to free up time for deep work every day. We believe there's a place for sync time - often a conversation on Zoom is exactly what is needed. For team meetings, this ‘sync time’ is typically between 9AM-Noon PT given where the overlap of timezones where Loommates are located.

Work-Rest Balance: The way we balance the fast-paced demands of a high-growth startup and sustainability is making rest a priority. We offer a flexible PTO policy so you're able to take time off when you need it. We also go fully offline once a year between Christmas and New Year (and twice during the Pandemic). Rest is also part of the workday, not just during PTO. Taking a break for personal commitments, whether it's watching the kids or getting some exercise is natural part of the workday.

Social Connection: Relationships and connectedness matter. We are intentional about building trust and relationships through unique, shared experiences. Our virtual workspace keeps us connected day-to-day whether it's through Looms celebrating wins or our buzzing Slack communities. Post-COVID, we want Loommates to meet in person at least twice a year purely for fun. We're also experimenting in local offices as social spaces, starting with San Francisco in Fall 2021.

Perks at Loom
Competitive compensation and equity package
99% company paid medical, dental, and vision coverage for employees and dependents (for US employees)
Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)
Healthcare reimbursement (for International employees)
Life, AD&D, Short and Long Term Disability Insurance
401(k) with 4% company matching
Professional development reimbursement
Mental health and wellness reimbursement
Gym reimbursement
Unlimited PTO
Paid parental leave
Remote work opportunities
Home office & technology reimbursement

Loom = Equal Opportunity Employer
We are actively seeking to create a diverse work environment because teams are stronger with different perspectives and experiences.

We value a diverse workplace and encourage women, people of color, LGBTQIA individuals, people with disabilities, members of ethnic minorities, foreign-born residents, older members of society, and others from minority groups and diverse backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of Loom are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.
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Senior Backend Software Engineer
Team Go  
docker aws postgresql backend senior data science Jun 17
The Senior Backend Software Engineer is the technologist responsible for designing, developing, and maintaining our core Federated GraphQL APIs and backend micro services for all Go products and services.
The ideal candidate:

  • Has 5+ years of development experience

  • Loves to build maintainable APIs for client teams and work.

  • Has real-world experience designing and deploying Microservices and Federated GraphQL Schemas

  • Has experienced all stages of a software product lifecycle; from building an early alpha, to rapidly iterating measuring and learning, and on past large scale adoption.

  • Has a good understanding of Docker, managed Container Services, and the role they play in a microservices architecture.

  • Has experience designing solutions that run on AWS, Functions and ECS

  • Sees value in Unit Testing and striving for high code coverage

  • Enjoys mentoring junior developers and setting team coding standards

  • Takes downtime personally and is willing to respond to and troubleshoot production outages in real-time.
You must have professional, production experience in:

  • Node.js as TypeScript

  • MongoDB via Mongoose

  • SQL (AWS PostgreSQL a bonus!)

  • GraphQL using Apollo Server

  • Microservices architecture and deployments

  • AWS (e.g. S3, EC2, Lambda, etc)

  • Docker

  • An understanding of DevOps and Infrastructure as Code
As we are a startup, we are still building toward our ultimate vision, and are still building out our technical infrastructure. You will be one of a handful of engineers with a hand in charting the course! Planned upcoming technologies include:

  • Postgres or similar SQL database for data science & analytics-type work.

  • Redis or similar caching solution for common data reads (and some writes).

  • Pub/Sub or similar messaging/queueing system for processing asynchronous out-of-request tasks.

  • Federated GraphQL API Gateway
Tools we use every day:

  • Gitlab, and Jira for source control, PRs, and task & issue management

  • Confluence for Product and Feature requirements

  • Slack for team communications

  • Google Workspace for file storage, email, etc
Bonus experience includes:

  • Experience in recommendation or machine learning systems

  • Container services such as Docker and Kubernetes

  • Production availability & performance monitoring

  • Advanced Mongo Database experience with performance tuning

  • Experience with Database search and indexing solutions
The role requires at least five years of experience on a team building production client-server backend software deployments.
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This Month

Sr. Product Manager- LATAM
manager product manager data science ios healthcare Jun 16
PLEASE NOTE: This position is open to candidates sitting in Central and South America! It is a Full-Time 100% remote position

We believe that diversity is the building block of a great culture and company! Great healthcare technology is meant for everyone, so we believe our company should be, too. We welcome and encourage people of all backgrounds and walks of life to apply!

At DrChrono, we aim to get perspectives from all paths to help us build the best products possible. Learn more about our commitment to diversity, equity, and inclusion here.

Our mission is to build a technology platform that enables medical practices of all sizes to make care more informed, more personalized, more interactive, and more adaptable. Our platform has been used by thousands of physicians who in turn have provided care to millions of patients.


About DrChrono, our Product, and Engineering
✅ We serve tens of thousands of healthcare providers and over 27.7 million patients 🩺
✅ DrChrono was the first EHR to build a native app for the iPad and iPhone 📱
✅ First mobile and cloud-based ambulatory EHR / EMR to be an Apple Mobility Partner
✅ The youngest company to be included in the US Government Precision Medicine Initiative
✅ The #1 EHR as voted by doctors, and the #1 mobile EHR as voted by Black Book for the last 9 years! 🔥
✅ We were just awarded the MedTech Breakthrough Award 2021 for Best Electronic Health Record Service 🏆🎉
✅ During Apple's recent worldwide developer conference, it was announced that DrChrono will be among the first to support iOS 15 feature allowing patients to share Apple Health App data with providers! 🤩

Our products can be completely tailored to any medical practice—small, large, or specialty—and are open to third-party innovation via a robust API.
 
Our people and the enthusiasm for healthcare is contagious. We’re one of the most tech-forward healthcare players in the EHR industry and our philosophy “more time with patients, less time doing paperwork” drives constant innovation throughout the company.

We’re seeking a Sr. Product Manager, Data Analyst to dig into our product usage information to identify the most efficient way to display data to our users. This role will work closely with our Product and engineering teams to execute on projects based on what’s identified by internal and external stakeholders. To do well in this role you will need a very fine eye for detail, experience analyzing and applying data insights, and a deep understanding of the popular analytical tools and approaches.

What you'll do...

  • Reviewing existing reports, and understand the underlying data
  • Dive deep into our data sets, data warehouse, data architecture, etc. and become a data expert
  • Make analytical, data-driven recommendations and communicate the results to the leadership team
  • Becoming an expert in our product data architecture to identify and glean opportunities to provide insights to our clinicians
  • Apply your expertise in visualization and data mining to present data to DrChrono users that will delight them and deepen their engagement with our platform 
  • Create dashboards that are engaging and entice clinicians to drill down quickly to the most important data points
  • Collaborate with cross-functional partners to scope new features and inform the product roadmap through analysis, priority trade-off recommendations driven by strategic priorities, and help determine the business logic of new features
  • Validate assumptions with our users
  • Brainstorm and solve problems facing patients and providers from first principles through direct experience, deep research, and observation
  • Scope and build original approaches to patient experience, technology, compliance, regulation, communication, and more
  • Establish the product vision and strategy for your product area
  • Define goals and success with clearly measurable objectives and key results
  • Develop product roadmaps and build alignment across product/engineering teams, cross-functional partners (marketing, customer experience, operations, etc.), and the leadership/executive team
  • Create requirements and prioritize work for teams of engineers, data engineers, and data analysts
  • Work with other product teams to design reliable systems that scale
  • Pull context across design, engineering, data science, operations, billing, and clinical teams in service of feature development

You have...

  • The Ideal candidate will have- BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field or 3+ years equivalent technical work experience
  • US Healthcare Domain Knowledge REQUIRED
  • CSPO: Certified Scrum Product Owner BONUS
  • Understanding of data architecture
  • Visualization mindset; enjoys presenting data in a delightful and visual way 
  • Demonstrated problem-solving capabilities and intellectual curiosity
  • Proactive team player who enjoys working with peers and other key stakeholders to design and execute against evolving business needs
  • Solid track record of effectively using data and performing analysis to support product strategy/decisions
  • Proven ability to present your teams work to senior management/executive team 
  • Experience leading an agile software development team, ideally developing data-heavy products with internal and external customers
  • Demonstrated ability to lead cross-functional teams through the product development lifecycle
  • Demonstrated ability to learn fast, quickly understand complex domains, then document and explain them
  • Be data-driven: define KPIs and reporting, then use the analysis to drive feature development
  • Experience writing product requirements in tickets (using JIRA and/or other ticketing systems)
  • Experiencing managing a product roadmap
  • Experience in a prior technology or innovation-driven company a bonus
  • Experience with surveys, market research, and analysis
  • Exceptional attention to detail
Remote Work Statement
We've moved forward with a remote-first approach. This means current and new DrChrono employees will always be allowed to work remotely, regardless if they were hired onsite or offsite pre-Covid19. We are committed to providing all employees with the necessary tools and support to perform their work from home without any disruption
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Data Engineering Manager
Scribd  
manager engineering manager data science aws Jun 16
At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we build the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals and more. In addition to works from major publishers and top authors, our community includes over 1.4M subscribers in nearly every country worldwide.

What you'll do

Data quality and integrity are two areas of focus for your work in our existing, organically-grown data infrastructure. You would be helping to grow the data engineering team which builds technology for developers to use. Developers across the organization rely on data to accomplish their goals, and you will lead the team building libraries, utilities, and services to help developers more readily access, understand, and benefit from our data. Depending on the project, this might involve collaboration with the Data Science and Content Engineering teams to identify business-critical Hive tables, or working with Core Platform to suggest better approaches for scaling streaming data sets. Almost everything you would be working on would be to increase the "customer satisfaction" for internal engineering customers of Scribd data.

Required Skills

• Strong written and verbal communication skills (we're remote!)
• Ability to develop software, whether scripts for shuffling data around, batch tasks, or stream processing units.
• Experience building and delivering high quality data systems using tools from the Hadoop or Spark ecosystem
• Mentoring skills and experience training and educating teammates or colleagues.
• Fluency with at least one dialect of SQL (MySQL and Hive preferred)

Desired Skills

• Streaming platform experience, typically based around Kafka, Spark, Storm, Beam,
• Strong understanding of AWS data platform services and their strengths/weaknesses.
• Opinions on what data integrity means and how to scale it up the organization

Benefits, Perks and Wellbeing at Scribd

• Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents
• Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans, and milestone Sabbaticals
• 401k plan through Fidelity,  plus company matching with no vesting period
• Diversity, Equity, & Inclusion hiring best practices
• Stock Options - every employee is an owner in Scribd! 
• Generous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Referral bonuses
• Professional development: generous annual budget for our employees to attend conferences, classes, and other events
• Company-wide Diversity, Equity & Inclusion training
• Learning & Development and Coaching programs
• Monthly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Work-life balance flexibility
• Employee Resource Groups that build community and support among employees
• Company events + Scribdchats
• Free subscription to Scribd + gift memberships for friends & family
• Monthly inclusive multi-cultural celebrations & learning opportunities

Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life

Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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Senior Account Executive - Netherlands
Dataiku  
senior executive data science big data Jun 16
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

Dataiku is looking for an experienced Senior Account Executive to join our sales team in Amsterdam. Since the launch, we have experienced a strong product market fit and steady market demand. Thanks to our expanding business, we have created a new position for an individual to have responsibility for an extensive territory.

We’re looking for someone who can express passion about the new technologies and possibilities of Big Data and Advanced Analytics.

The role consists of engaging prospects and customers on the topic of their Data and Advanced Analytics initiatives and to help them develop a more efficient approach, leveraging our platform. The Account Executive is responsible for the entire sales cycle, with the goal of delivering a successful partnership with the prospect, by leveraging various company resources, to reach a successful collaboration with the prospect.

Dataiku is a young company with great momentum and at this early stage, the Account Executive is likely to work cross functionally with Marketing, Product Management and Engineering.

You might be a good fit if you have:

  • 5+ years experience in software field sales
  • Excellent verbal and written communication skills in Dutch, and in English 
  • Strong belief in a customer centric selling philosophy and applying a consultative approach in customer interactions
  • Background in selling innovation and new concepts to large Enterprises
  • Strong ability to develop a vision match with prospects and customers, to develop alignment across different groups and cultivate champions.
  • Good articulation of competitive positioning
  • Travel 10 to 20%
  • Experience in ‘data’ – data, analytics, data science, BI/DW, data integration
  • Early-stage start-up experience
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Lead Software Engineers
Reaktor  
typescript javascript react scala swift data science Jun 14

We are working remotely and are open to candidates working from anywhere in the US or Canada. Our office in New York's Flatiron district is available for anyone based in NY.

We're looking for lead full-stack software engineers to join and lead our teams in delivering world-class digital products for companies such as adidas, ViacomCBS, HBO, Rovio, and Finnair. We need people that are deeply knowledgeable and passionate about technology, are able to consult clients about their core business challenges, and can come up with the right solutions with their teams.

What we can offer you:

  • Small, completely autonomous teams filled with experts in everything from design, to data science, to business consulting, working together with the client to clarify ambiguous requirements, define the best course of action, pick the right tools and technologies, and shape the result — together.
  • A global community of amazing people who you will learn from and will learn from you.
  • Experimentation and continuous improvement of our skills and ways of working.
  • A dedication to constant evolution (and the occasional revolution).
  • A world without rigid hierarchy—big ideas can come from anyone and anywhere.

At Reaktor USA, our benefits and perks evolve with our community, and we're always open to new ideas that will support the wellbeing of Reaktorians. Currently, we offer the following perks:

  • A real work-life balance with 40-hour weeks
  • Four weeks of paid vacation
  • Floating holiday policy - you can choose which holidays you want to recognize
  • 16 weeks of fully paid family leave for primary caregivers and up to 8 weeks of fully paid family leave for secondary caregivers
  • A community with as much support as your heart desires
  • Aetna health, dental and vision plans
  • 401K plan with a 6% annual match
  • Citi Bike membership and commuting benefits
  • A phone of your choice with a phoneline
  • Quarterly learning stipends to use on your professional development
  • Budget for improving your remote work set up during COVID-19
  • Dinners, team outings, company trips, and other opportunities to bond with your teammates

P.S. Listen to our new podcast Fork Pull Merge Push.
Insight, inspiration, and the most mind-bending technical rabbit holes, brought to you biweekly.

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Data Scientist - Amsterdam
Dataiku  
python data science machine learning big data cloud frontend Jun 14
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

We're looking for a Data Scientist to join Dataiku in our office in Amsterdam.

Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. Internally, we call the team the DataFab, ask us about it!

As a Data Scientist at Dataiku, you will have the opportunity to participate in our customer's journey, from supporting their discovery of the platform, it's installation and configuration, to training users and co-developing data science applications, from design to deployment. 

You will get hands-on experience coding in multiple languages and applying the latest big data technologies to business uses cases.

Our ideal candidate is comfortable learning new languages, technologies, and modeling techniques while being able to explain their work to other data scientists and clients.

What You'll Do:

  • Co-develop data science projects with our customers
  • Crunch, analyze and investigate various kinds of data, across industries and use cases
  • Explore new machine learning algorithms, and apply them to real-world business applications
  • Deploy Machine Learning models to production, and develop its integration or front-end (e.g. a predictive webapp)
  • Help users discover the Dataiku platform and to master its use by providing trainings to users with a wide range of backgrounds and skill levels (data science, IT, analysts, managers, etc…)
  • Communicate results to non-technical colleagues and clients
  • Provide data science expertise to customers and internally to Dataiku’s sales, marketing, and R&D teams

Who You Are:

  • Curiosity and a desire to learn new topics and skills
  • Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
  • 2+ years of experience with R or Python
  • 2+ years of experience with predictive modeling
  • Familiarity with data visualization in Python, R or JavaScript
  • Understanding of relational data structures and SQL

Bonus points for any of these:

  • Experience with PySpark, SparkR or Scala
  • Experience developing WebApps
  • Experience building APIs
  • Experience with cloud infrastructures, especially Kubernetes
  • Passion for teaching or public speaking

Benefits:

  • Exposure to a wide range of enterprise customers across industries. Examples of Dataiku’s hundreds of customers include GE, Unilever, Comcast, Ubisoft, OVH, Santander, and Capgemini.
  • A wide diversity of projects and tasks ensures that no two days will be alike
  • Opportunity to contribute to the core vision of our company and product: simplify and democratize the way people work with data and use Artificial Intelligence
  • Exposure to the latest, open-source technologies that Dataiku integrates. See our release notes for our latest developments: https://doc.dataiku.com/dss/latest/release_notes/index.html
  • Trips to Paris (our European HQ) and other locations worldwide for company-wide and team summits
  • Opportunity to work with a smart, passionate and driven team in hypergrowth mode
  • Dataiku has a strong culture based on key values: Transparency, Ambition, Excellence, Humility, and Empathy
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Program Manager, Member Experience and Engagement
manager data science healthcare Jun 14
A bit about us: 

We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being. 

That’s why we’re gathering a whole bunch of smart, big-hearted people to create a new kind of healthcare company — one that combines compassion, health insurance, clinical care, and technology seamlessly. 

"We want to partner with people we love for a cause we believe in. Life is short. Join us."


Waltham MA or Remote - Must work east coast hours

A bit more about this role: 
Our Member Experience & Engagement team is entrusted with architecting and executing on key elements of our mission. The team is responsible for ensuring a consistent experience across member touch points while making sure that we deliver on our promise of a coordinated and easy member experience. And that starts with how we engage with and design experiences for members in the earliest stage of their journey — right when they join Devoted. 

As a Program Manager, you’ll focus on the design, implementation, and evaluation of programs/initiatives to maximize member retention from members who join Devoted via third party broker channels. This role is critical in ensuring a consistent member experience — and needs a unique approach. It  will be an amazing opportunity to work at the intersection of customer engagement, sales operations, customer service, compliance, marketing, and technology — at the very heart of our strategy.

Responsibilities will include:

  • Responsible for design/development, implementation, and management of critical member engagement initiatives to welcome and retain new members joining via third party broker channels.
  • Close collaboration with internal stakeholders (including member experience, sales operations, compliance, telesales, and technology) to develop and advise on multi-channel member engagement strategies and campaigns.
  • Develop toolkits, scripts, talking points, and trainings to prepare frontline teams to best serve this audience. 
  • Partner with our data science and analytics teams to design experiments and measure the impact of programs
  • Use data dashboards to build reports and monitor ongoing programs.
  • Manage relationships with broker partners to support member retention Developing partnership initiatives with broker agencies to co-create solutions to improve member experience 
  • Understand and enforce compliance regulations for communications & campaigns across channels

Attributes to success:

  • You roll up your sleeves and do whatever it takes to get the job done
  • Ability to execute (sometimes wacky) ideas — and then know if they worked
  • Challenges inspire vs. intimidate you
  • Strong communicator who can work with cross-functional stakeholders
  • Creative thinker with a can-do attitude 
  • Passionate about process improvement and efficiency and have an ability to predict and prevent bottlenecks
  • The ability to work in a startup environment: which means being transparent in your work, what’s going well, what’s not
  • A deep caring to make a change in the healthcare experience

Desired skills and experience:

  • 5+ years doing program management
  • Experience in a startup, or other fast-paced environment 
  • Track record of success developing and implementing outreach campaigns, systems, and processes — and setting and achieving ambitious targets
  • Experience with data analysis techniques
  • Background in Medicare sales or customer service a plus 
  • You’re a great team member with a can-do attitude; you’re self-reflective

If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you! 

Devoted is an equal opportunity employer.  We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.

As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.
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Program Manager, Member Experience and Engagement
manager data science healthcare Jun 14
A bit about us: 

We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being. 

That’s why we’re gathering a whole bunch of smart, big-hearted people to create a new kind of healthcare company — one that combines compassion, health insurance, clinical care, and technology seamlessly. 

"We want to partner with people we love for a cause we believe in. Life is short. Join us."


Waltham MA or Remote - Must work east coast hours

A bit more about this role: 
Our Member Experience & Engagement team is entrusted with architecting and executing on key elements of our mission. The team is responsible for developing outbound member communication campaigns from concept through execution across channels (SMS, email, mail, voice) ensuring that we deliver on our promise of a coordinated and easy member experience. Foundational to this strategy is an understanding of health literacy, health communication, behavior change, and digital strategy to deliver clear and actionable health campaigns. Our ability to meaningfully connect with members — wherever they are on their healthcare journey — will drive our success in creating a loved consumer brand unique in the industry.

This role will primarily be responsible for working with clinical teams across the organization to design, execute, and identify new opportunities for high-impact, proactive member engagement strategies to drive behavior change, influence key clinical outcomes, and increase member acceptance for care management programs. This role will be an amazing opportunity to work at the intersection of health communication, care and disease management, customer service, member experience, and technology — at the very heart of our strategy.

Responsibilities will include:

  • Responsible for design/development, implementation, and management of critical member engagement initiatives (using health communication and behavior change theories) to drive clinical outcomes
  • Close collaboration with internal stakeholders including member experience, content designers, clinicians (like pharmacists, NPs, nurses, and primary care doctors), and our technology teams to develop multi-channel member engagement strategies and campaigns
  • Partner with our data science and analytics teams to design experiments and measure the impact of programs
  • Use data dashboards to build reports and monitor ongoing programs
  • Develop toolkits, scripts, talking points, and trainings to align front-line teams around operational changes required to execute patient engagement programs
  • Research and share outcomes and best practices related to patient experience and engagement 
  • Work with other MXE Program Managers to maintain and prioritize cross-channel member engagement initiatives 
  • Develop audience segmentation strategies for various campaigns and initiatives
  • Understand and enforce compliance regulations for communications & campaigns across channels

Attributes to success:

  • You are fluent in health communication, digital strategy, and patient engagement
  • You roll up your sleeves and do whatever it takes to get the job done
  • Ability to execute (sometimes wacky) ideas — and then know if they worked
  • Challenges inspire vs. intimidate you
  • Ability to break down and articulate complex information in simple terms
  • Ability to deal effectively with ambiguous situations
  • Comfort in a metrics-driven environment
  • Passionate about process improvement and efficiency and have an ability to predict and prevent bottlenecks
  • The ability to work in a startup environment: which means being transparent in your work, what’s going well, what’s not
  • A deep caring to make a change in the healthcare experience
  • Excellent written communication, project management, and presentation skills

Desired skills and experience:

  • Experience in a startup, or other fast-paced environment 
  • 5+ years experience managing patient engagement projects and programs
  • Subject matter expertise in public health, behavior change, health literacy, health communication, and/or human-centered design principles
  • Track record of success developing and implementing outreach campaigns, systems, and processes — and setting and achieving ambitious targets
  • Experience with data analysis techniques preferred

If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you! 

Devoted is an equal opportunity employer.  We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.

As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.
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Data Lead for Global Public Health
Field  
node-js aws couchdb postgresql devops data science Jun 11

We’re looking for a (normal-to-big) data engineer to help us build and maintain our suite of country-scale logistics and program intelligence systems for distributed, occasionally-connected contexts. Our ideal data engineer will be an experienced cross-functional collaborator and able to contribute to:

Data analysis environments - At Field, data drives all aspects of business, and your role will be to design and build the tools to ensure data science, management and engineering all have the tools and services they need to consume and manage it.

Data infrastructure - Working with our engineering team, your job will include driving database optimisation and data architectures to expand our data warehousing, analysis and pipeline architecture.

Data driven products - As part of a multi-disciplinary team you will help investigate internal data consumers' needs and design solutions to provide flexible, transparent, reliable tools and environments for data management and analysis.

Data analysis - Diving into our trove of near-realtime data, and perform robust investigative analyses to drive business results in fields such as supply planning, demand planning and anomaly detection.

You will work closely with other engineers and product teams in Berlin and Nigeria, supporting each other and collaborating through frequent architecture and code reviews and strong adherence to best practices, as we develop tools to shape health supply chains at scale in some of the fastest growing places in the world.

Responsibilities

  • Assemble large, complex data sets as needed by business and operational consumers
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing database schema and infrastructure for greater scalability, etc
  • Build the infrastructure required for querying, transformation and analysis of data from a range of sources including SQL databases, noSQL databases, REST APIs, and file formats
  • Design and implement data QA plans and automated tooling with engineering
  • Build analytics tools that utilize the data pipeline to provide actionable insights into supply chain operations, operational efficiency and other key business performance metrics
  • Architect and implement measures to ensure data integrity and security across all backend infrastructure
  • Research and iterate on advanced statistical and ML-augmented data tools to improve planning and operations

Required

  • Advanced working knowledge of and professional experience with querying and manipulating data using relational databases (postgres), document databases (elasticsearch, couchdb), spreadsheets (google sheets, excel) and REST APIs
  • Pro SQL and relational database management skills
  • Professional experience applying advanced statistical methods to data management and analysis
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions, and identify discrepancies and opportunities for improvement
  • Strong analytic skills related to working with unstructured datasets
  • Professional experience configuring and maintaining analytical tools including business intelligence suites (preferably open source) and GIS platforms for analysis and routing
  • Working knowledge of message queuing, stream processing, and serverless infrastructure
  • Excellent technical communication skills and proven ability to problem solve with a multi-disciplinary team
  • 6+ years of experience in a database management, data science role or equivalent
  • Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another mathematical or scientific field
  • Professional experience in demand forecasting and supply planning
  • Location: Berlin

Bonus

  • Experience with ERPs/enterprise management systems
  • Desire to travel to work with our international teams
  • Strong gif game
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Software Engineer
python kubernetes react-js aws machine-learning javascript Jun 11

We’re looking for an experienced Full Stack Software Engineer to join the rapidly growing team in our University of Oxford machine learning start-up. We are a group of passionate and highly skilled individuals working together to achieve our vision of a future where AI and Humans collaborate to solve the world’s most important problems.

Location: We’ve been working successfully as a fully remote team during the pandemic and are open to this role being remote (within a (+/- 2hrs GMT), part-remote or office based as well as offering flexible working options. It is likely that many of our staff will choose to remain as remote workers going forward and so we are able to offer a fully inclusive and integrated team to anyone opting for a remote role.

ABOUT YOU
You will love getting stuck-in; taking ideas from concept through to production, making elegant and maintainable solutions to complex data-centric problems, and working with an awesome team of engineers building exciting new products.

Your passion for software engineering and product development will allow you to thrive in our start-up environment. Our collaborative, flexible and autonomous way of working will provide an excellent platform for you to grow, learn and explore new technologies and tools, whilst driving us forward to make our vision a reality.

ABOUT THE ROLE
You'll be working alongside our machine learning client team, supporting them by delivering expert advice and bespoke working solutions. You’ll also be working with the Product teams as we integrate new ideas into our machine learning platform or tackle a particular business need. You should expect to work closely with platform-engineers to provide ideas and generally get stuck in to help make something work as it should.

You’ll be responsible for driving software engineering best practice at all times. Designing and developing features across all levels of web-based systems (full-stack) and rapidly prototyping, exploring and testing ideas. It will involve building and iterating on new features with users to help solve real problems.

We understand that there may not be such a thing as ‘the perfect candidate’ and no single person can do it all. However, if this sounds like you, or what you believe you can achieve, and you're looking for somewhere you can thrive, we would love to hear from you.

WHAT YOU’LL NEED

  • Strong technical skills across multiple levels of a web-app stack - we don't expect everyone to be an expert in every aspect of frontend, backend & devops, but you’ll need to have skills & experience across multiple levels.
  • At least 4 years of commercial software engineering experience across all parts of a software development life cycle
  • Experience working in an iterative Agile environment
  • Fluent with at least one of our core programming languages (Java, JavaScript/TypeScript or Python)
  • Experience with at least two of the core technologies in our stack (React, Spring, Flask, PostgreSQL, Kubernetes, Machine Learning)
  • A degree in a technical discipline such as Mathematics, Computer Science, Physics, etc. or equivalent commercial experience.

GREAT TO HAVE

  • Wider software engineering skills (e.g. scripting, ops, ui/ux, design, databases, etc)
  • Experience architecting and designing complex software systems
  • Experience working closely with users, working out what to build and why
  • Understanding of Machine Learning, AI or Data Science, including experience deploying ML in production or commercial applications
  • Familiarity with other technologies in our stack (protobuf/grpc, Apache Arrow, Parquet, Redux, AWS, Node)
  • Experience with modern numeric or big data frameworks, such as TensorFlow, PyTorch, Spark, Numba, Kafka

WHAT’S IN IT FOR YOU?
As well as joining a talented and fun team of scientists, engineers, storytellers and problem-solvers dedicated to innovation, ethical AI, the pursuit of knowledge and making the world a better place? Well, we believe in investing in our people, encouraging career and personal development through training programmes and performance assessments to help you to be the best at what you do and allow you to grow with the company.

You’ll enjoy a competitive compensation package, an awesome work environment in Summertown (Oxford, UK), if that’s where you choose to work from full or part of the time (or remotely). We have a strong social scene, even if by Zoom, and some of us can't wait to get back to our face to face team lunches, pub Wednesday's, office snacks and our sorely missed coffee machine, however we also offer great benefits such as:

  • Private healthcare (including dental and optical cover)
  • Pension
  • 25 days holiday (excl bank holidays)
  • An opportunity for equity in the company
  • Physical and mental health well-being initiatives e.g. discounts on gym memberships and sportswear & equipment, free fitness & nutrition programmes and professional mental health support sessions
  • Life cover
  • Flexible working
  • Professional and personal development
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AI Strategist - Evangelist
Dataiku  
data science machine learning Jun 11
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Evangelist and AI Strategist team is at the beginning of this journey, explaining, educating on the business value generated by this transformation.

At Dataiku, we all have customer's best interest always in mind, and as an evangelist this is one of your priorities. Listen, understand and help them identify innovation opportunities using Machine Learning and Artificial Intelligence.

Responsibilities:

  • Work with Dataiku customer facing teams to develop new opportunities
  • Meet with Customer to explain the value of AI in different industries and more specifically what Dataiku can help them achieve
  • Work with the marketing/sales team in planning and executing demand & lead generation campaigns
  • Produce thought leadership and/or product-related materials in various form (blog articles, whitepapers, videos, other marketing collateral …)
  • Explain the business value realized by our customers with Dataiku to our customers and to the market (in collaboration with our Customer success team)
  • Attend/Speak at professional conferences.

Core skills and talents:

  • With your technical and business background, you do have the ability to analyze customer challenges and then articulate them into new opportunities.
  • You are really willing to work with others, this is a team sport, from Marketing to Partners, to customers and the global ecosystem.
  • You are seen as a trust advisor
  • You do have strong communication skills and you are willing to share your point of view in front of various audience (CxO, Events, Interview…), you should inspire people to think differently. You are able to articulate and present complex concepts into simple message.
  • Deep understanding of the Machine Learning ecosystem and business value drivers.
  • Able and willing to learn every day on a constantly evolving market.
  • Passion for what you do

Qualifications:

  • 10+ years experience in consulting or software & technology
  • Advanced degree in Statistics, Data Science, Economics or other related field
  • Excellent analytical, critical thinking, and creative problem-solving skills
  • Good communication skills with the ability to clearly articulate and present complex situations and concepts
  • Good understanding of the technical ecosystem

#LI-Remote

To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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AI Strategist - Evangelist
Dataiku  
data science machine learning Jun 11
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Evangelist and AI Strategist team is at the beginning of this journey, explaining, educating on the business value generated by this transformation.

At Dataiku, we all have customer's best interest always in mind, and as an evangelist this is one of your priorities. Listen, understand and help them identify innovation opportunities using Machine Learning and Artificial Intelligence.

Responsibilities:

  • Work with Dataiku customer facing teams to develop new opportunities
  • Meet with Customer to explain the value of AI in different industries and more specifically what Dataiku can help them achieve
  • Work with the marketing/sales team in planning and executing demand & lead generation campaigns
  • Produce thought leadership and/or product-related materials in various form (blog articles, whitepapers, videos, other marketing collateral …)
  • Explain the business value realized by our customers with Dataiku to our customers and to the market (in collaboration with our Customer success team)
  • Attend/Speak at professional conferences.

Core skills and talents:

  • With your technical and business background, you do have the ability to analyze customer challenges and then articulate them into new opportunities.
  • You are really willing to work with others, this is a team sport, from Marketing to Partners, to customers and the global ecosystem.
  • You are seen as a trust advisor
  • You do have strong communication skills and you are willing to share your point of view in front of various audience (CxO, Events, Interview…), you should inspire people to think differently. You are able to articulate and present complex concepts into simple message.
  • Deep understanding of the Machine Learning ecosystem and business value drivers.
  • Able and willing to learn every day on a constantly evolving market.
  • Passion for what you do

Qualifications:

  • 10+ years experience in consulting or software & technology
  • Advanced degree in Statistics, Data Science, Economics or other related field
  • Excellent analytical, critical thinking, and creative problem-solving skills
  • Good communication skills with the ability to clearly articulate and present complex situations and concepts
  • Good understanding of the technical ecosystem

#LI-Remote

To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Marketing Analytics Intern
Dataiku  
python data science Jun 11
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

Dataiku is looking for a Marketing Data Analyst Intern to join our Marketing Machine team in Paris. 
Our Marketing Machine team is responsible for marketing tooling, analytics, websites, as well as enabling the Marketing team in their everyday work.

Working alongside the Marketing Analytics Project Manager,  you will play a central role to deliver data-driven insights and data products to the Marketing team. You will also support the full organization to leverage data produced by marketing activities and operationalize it. The ideal candidate is naturally curious, has a sharp analytical mind and good verbal and written communication skills, a strong interest in data and related technologies, and a positive attitude towards work.

What you will do:

  • You will work on the entire lifecycle of data, from connecting data sources to rendering the insights live and available to the Marketing team. Among other missions, your internship will cover a few dashboard creations that you will own from start to finish.
  • Work with our marketing tools’ APIs to bring in the data that we need into our data warehouse (Google Analytics, Google Search Console, Hubspot, etc.)
  • Prepare data into Dataiku DSS to create solid reference datasets.
  • Create data visualization and marketing dashboards in Tableau.
  • Collaborate with the marketing operations team members to define the insights that they need, and with the analytics leaders to set up projects
  • Consolidate existing Dataiku DSS projects by optimizing and documenting them.
  • Support the Marketing team with quick ad-hoc analysis requests.
  • Depending on your background (statistics, computer science, business) you may work more or less on the technical side of projects: creating Dataiku Apps to expand Dataiku DSS capabilities for marketers, data science projects, finding new ways to communicate insights based on automation, etc.

You might be a good fit if...

  • You are eager to learn, inquisitive, autonomous.
  • You have good communication skills with the ability to clearly articulate and present complex situations and concepts.
  • You are rigorous and inclined to double-check metrics and projects before pushing the button.
  • You have an analytical mindset, you like to spot biases that could be improved by data, and can assess what data can and cannot do.
  • You want to apply your technical skills to business use cases.
  • You already have experience working with APIs.
  • You can develop in Python and SQL to manipulate datasets.
  • You can work in English.
  • Experience using Tableau or Dataiku DSS is a plus (we’ll train you if you don’t).

Benefits:

  • Enjoy our welcoming and huge office in Paris and the startup life (Lunch, Snacks, Game Room, Yoga, and more…).
  • Opportunity to work with a smart, passionate, and fun team.
  • Dataiku has a strong culture based on key values: Ownership, Passion, Autonomy, and Friendliness.
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Software Engineer, Recommendations
Scribd  
ruby data science testing frontend Jun 08
At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we build the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals and more. In addition to works from major publishers and top authors, our community includes over 1.4M subscribers in nearly every country worldwide.

About the Role

•Working within our Ruby on Rails codebase for serving recommendations to the web and mobile applications. This includes aggregating recommendations from multiple sources and then filtering/ranking them based on contextual data.
•Implementing projects considering quality, maintainability, performance, scale, and observability throughout the development process and in production.
•Writing clear technical documentation based on the project proposals.
•Using our NWay testing framework for product development, especially in collaboration with our product and front-end teams.

Minimum Requirements

•Bachelor's or higher in mathematics, computer science, physics, or equivalent experience
•2+ years experience in software engineering
•Strong comprehension of data structures and algorithms with a focus on applied problem solving
•Experience with a web application framework (Ruby on Rails, Spring, Django, Flask, or a comparable framework)
•Experience shipping production-level, clean, maintainable code
•Experience working with scalable, reliable and high availability services
•Ability to communicate effectively and proactively with the team and stakeholders
•Ability to work collaboratively on cross functional teams with product, data science and other engineering teams
•Recommendations experience is a plus
Benefits, Perks and Wellbeing at Scribd

• Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents
• Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans, and milestone Sabbaticals
• 401k plan through Fidelity,  plus company matching with no vesting period
• Diversity, Equity, & Inclusion hiring best practices
• Stock Options - every employee is an owner in Scribd! 
• Generous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Referral bonuses
• Professional development: generous annual budget for our employees to attend conferences, classes, and other events
• Company-wide Diversity, Equity & Inclusion training
• Learning & Development and Coaching programs
• Monthly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Work-life balance flexibility
• Employee Resource Groups that build community and support among employees
• Company events + Scribdchats
• Free subscription to Scribd + gift memberships for friends & family
• Monthly inclusive multi-cultural celebrations & learning opportunities

Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life

Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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Senior Software Engineer, Recommendations
Scribd  
senior ruby scala data science Jun 08
At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we build the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals and more. In addition to works from major publishers and top authors, our community includes over 1.4M subscribers in nearly every country worldwide.

About the Role

• Working within our Ruby on Rails codebase for serving recommendations to the web and mobile applications. This includes aggregating recommendations from multiple sources and then filtering/ranking them based on contextual data.
•Helping maintain and improve our graph of Spark (Scala) applications, which are responsible for aggregating interactions and generating new recommendations.
•Leading and implementing projects considering quality, maintainability, performance, scale, and observability throughout the development process and in production.
•Improving or building solutions that address our architectural gaps and technical debt.
•Advising on technical designs, reviewing code, participating in interviews and mentoring junior team members.
•Collaborating with our product and data teams to analyze data and plan a course of action.
•We are building our recommendations platform into a service oriented architecture to support the growth of our business. You will have the opportunity to influence the way we build our platform which helps in having shorter iterations on feature development which has a direct impact on growth and revenue.

Minimum Requirements

•A bachelor or masters degree in computer science or related field
•5+ years of industry experience on large scale distributed systems
•Strong experience with a web application framework (Ruby on Rails, Spring, Django, Flask, or a comparable framework)
•Strong experience with a big-data processing engine (Spark, MapReduce, Flink, or a comparable engine)
•Strong SQL skills and the ability to evaluate and own large and complex datasets
•Experience working within a service-oriented environment
•Ability to communicate effectively and proactively with the team and stakeholders
•Ability to work collaboratively on cross functional teams with product, data science and other engineering teams
•Recommendations experience is a plus
•Experience decomposing a monolithic application into services is a big plus
Benefits, Perks and Wellbeing at Scribd

• Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents
• Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans, and milestone Sabbaticals
• 401k plan through Fidelity,  plus company matching with no vesting period
• Diversity, Equity, & Inclusion hiring best practices
• Stock Options - every employee is an owner in Scribd! 
• Generous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Referral bonuses
• Professional development: generous annual budget for our employees to attend conferences, classes, and other events
• Company-wide Diversity, Equity & Inclusion training
• Learning & Development and Coaching programs
• Monthly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Work-life balance flexibility
• Employee Resource Groups that build community and support among employees
• Company events + Scribdchats
• Free subscription to Scribd + gift memberships for friends & family
• Monthly inclusive multi-cultural celebrations & learning opportunities

Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life

Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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Senior Backend Software Engineer
php sql express node-js aws backend Jun 02

Your mission

Are you interested in the circular economy and battery technology? At Circunomics, as a Backend Developer (f/m/d), you will be part of our team responsible for designing and implementing components of our cloud-based data analytics platform. This includes, among other things, the specification and implementation of various APIs, backend microservices, and deployment to our cloud infrastructure.

Your profile

  • Degree in computer science or a similar technical field
  • 3+ years of related work experience
  • Successfully completed development projects with PHP and Symfony Framework
  • A broad understanding of message-based systems, RESTful, API design, microservice architectures, and distributed systems
  • Design and operation of container-based applications, including those using Kubernetes
  • Experience in planning and maintaining large and high-performance backend systems
  • Experience with SQL/NoSQL-based database systems and schema designs
  • Clean understanding of HTTP protocol and web technology
  • Experience in designing systems for public clouds (AWS)
  • Experience with Linux based environments, shell scripting, and infrastructure diagnostics
  • Willingness to write and maintain documentation
  • A keen sense of knowing when a feature “works” and when it can be improved
  • A focus on coding standards and code quality
  • Architecture skills (code and infrastructure). Acronyms like SOLID and DDD make you excited
  • You regularly follow KPIs and can get the most out of them to make well-reasoned decisions and iterate to improve those through time
  • Push for shipping. CI/CD is a must. Putting code live every day is a given.
  • Your profile is rounded off by a good command of German and/or English

You get bonus points for:

  • JavaScript, Node.js, Typescript, and/or Python
  • Express and/or Django

Why us?

  • With us, you are part of a young and ambitious team that works together on the technology for the next future
  • Modern cloud technologies, topics related to the circular economy, new energy, electromobility and li-ion batteries, modeling of complex systems and machine learning algorithms, data science
  • Your strengths and interests determine your development potential - we place great value on individual personality and skill development
  • We consider your individual situation and allow you to work in a family-friendly way
  • A true remote culture
  • Flexible working hours and benefits such as a travel card

About Us

Circunomics is a cloud-based platform for the Circular Battery Economy.
The Circunomics battery data platform will power an ecosystem of OEMs, fleets, recyclers, and remanufacturers.
Circunomics is building a symbiotic system that integrates tracking/tracing information, a neutral cloud environment, and commercial service to enable battery producers and OEMs to build circularity into their batteries – enabling reuse and recycling.
We are a team of experts in the circular economy, data science, battery, and software development. As a spin-off of Next Mobility Labs, we are working with cutting-edge technology to help shape the European battery industry in line with the principles of the circular economy.
Read more at Circunomics.com

Interested? Upload your CV together with a Cover Letter (only a few sentences explaining what motivates you about the position and what your salary expectation is) in one pdf.

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Cloud Architect - Germany
Dataiku  
cloud data science big data linux aws azure Jun 02
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

Dataiku is looking for an experienced Cloud Architect to join its Field Engineering Team to support the deployment of its Enterprise AI Platform (Dataiku DSS)  to an ever growing customer base. 

As a Cloud Architect, you’ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build and run their Data Science and AI Enterprise Platforms.

This role requires adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses and on-premise Hadoop data lakes, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines,  and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you.

The position can be remote in the UK, Germany, Netherlands, France, Spain, Ireland and Ukraine.

Responsibilities

  • Evangelize the challenges of building Enterprise Data Science Platforms to technical and non-technical audiences
  • Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations
  • Deploy Dataiku DSS in a large variety of technical environments (on prem/cloud, hadoop, kubernetes, spark, …)
  • Design and build reference architectures, howtos, scripts and various helpers  to make the deployment and maintenance of Dataiku DSS smooth and easy
  • Automate operation, installation, and monitoring of the data science ecosystem components in our infrastructure stack
  • Provide advanced support for strategic customers on deployment and scalability issues
  • Coordinate with Revenue and Customer teams to deliver a consistent experience to our customers
  • Train our clients and partners in the art and science of administering a bleeding-edge Elastic AI platform

Requirements

  • Strong Linux system administration experience
  • Grit when faced with technical issues. You don’t rest until you understand why it does not work.
  • Comfort and confidence in client-facing interactions
  • Ability to work both pre and post sale
  • Experience with cloud based services like AWS, Azure and GCP
  • Hands-on experience with the Hadoop and/or Spark ecosystem for setup, administration, troubleshooting and tuning
  • Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
  • Some experience with Python
  • Familiarity with Ansible or other application deployment tools

Bonus point for any of these

  • Experience with authentication and authorization systems like LDAP, Kerberos, AD, and IAM
  • Experience debugging networking issues such as DNS resolutions, proxy settings, and security groups
  • Some knowledge in data science and/or machine learning
  • Some knowledge of Java

Benefits

  • Work on the newest, best, big data technologies for a unicorn startup
  • Consult on AI infrastructure for some of the largest companies in the world
  • Equity
  • Opportunity for international exchange to another Dataiku office
  • Attend and present at big data conferences
  • Startup atmosphere: Free foods and drinks, international atmosphere, general good times and friendly people
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Senior Data Scientist, Product Analytics
 
senior data science saas May 31
Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, we will provide the choice to work from home or return to work in an office unless a job requirement makes it necessary for a particular role to be performed at an Atlassian office.

Atlassian helps teams everywhere change the world and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionising the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!

Do you have a passion for crafting products and insights with data? Do you love finding the next big ‘aha’ which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?

Atlassian is looking for a Senior Data Scientist to join our Product Analytics team in Sydney, Australia. We’re seeking someone with strong business instincts, creativity and analytics mastery, who is passionate about applying these skills to drive smarter product decisions and ultimately, delight our customers.

You’ll be part of Atlassian’s multi-discipline Agile product organisation whose mission is to enable our customers to connect every dimension of their work with greater visibility, organisation, and impact through our industry leading Jira Software.

In this role, you'll get:

  • Work with other product leaders to identify high impact opportunities for analytics, and align analytics & data science priorities with the product roadmap and strategy
  • Play with our seriously large volume of analytics data to understand insightful trends and employ this behavioural data and insights to intelligently to improve user journeys and customer value
  • Drive the measurement culture and understand the impact our product strategy; including crafting and analysing experiments and product launches
  • Envision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analysts
  • Share your high-quality insights and recommendations to various levels of leadership to drive critical business decisions
  • Foster an extraordinary analytics culture, leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions

On your first day, we'll expect you to have:

  • Demonstrated ability applying your analytics skills to drive projects which have had shown impact on strategic and product roadmap decisions
  • An agile development approach, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing “having something now" vs. "perfection in the future"
  • Expertise in data manipulation and statistical programming languages (e.g. SQL, R, Python)
  • Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)
  • Proficiency in at least one visualisation tool (e.g. Tableau, R-Shiny)
  • Strong ability to communicate. Explaining complex concepts to diverse audiences, and crafting compelling stories
  • Project management & prioritisation experience; preferably with Data Engineering, Product Management, Research and Engineering teams
  • A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)

It's great, but not required if you have:

  • Previously worked in global teams and high growth companies
  • Advanced degree in Computer Science, Math or Statistics
  • An understanding of the SaaS development, business model and metrics
  • Experience in customer analytics, particularly analytical insight into how product changes impact customer and user happiness and engagement
  • Experience in building ETL pipelines using any tools or scripting languages
  • Are an active member of the broader analytics and data science community
More about the team

The Product Analytics team’s mission is to improve every decision in the product. We work across the entire build-measure-learn cycle of product development. We inform high level strategy by analysing the business. But we also drive insights from user behavioural data and seek to make a positive impact on the way our customers use our products in their day-to-day work. We are a highly collaborative team with a high bar of rigorous analyses, and we love to have fun along the way.

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.

Atlassian is committed to providing reasonable accommodations to all individuals participating in the application and interview process, and while performing job functions. Please note that you will have the opportunity to request accommodations at each stage of the assessment process. To request accommodations before scheduling an interview, please reach out to atlassian-accommodations@atlassian.com and someone will follow up shortly.

All your information will be kept confidential according to EEO guidelines.

If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Data Scientist - New York
Dataiku  
python javascript data science machine learning cloud May 28
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.

Just as the non-technical skills are important, so too are the technical. Our Data Scientists work in the Dataiku platform every day. Aside from the visual tools, our team uses mostly python, with occasional work in other languages (e.g., R, SQL, pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients.

In this role you'll help the team:

  • Co-develop production-level data science projects with our customers
  • Analyze and investigate various kinds of data and machine learning applications across industries and use cases
  • Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
  • Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
  • Develop custom Python or R-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality

You might be a good fit for the role if you have:

  • Curiosity and a desire to learn new topics and skills
  • Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
  • The ability to clearly explain complex topics to technical as well as non-technical audiences
  • 2 - 10 years of experience with ML tools (e.g., Python, R)
  • 2 - 10 years of experience building models  
  • Familiarity with data visualization in python, R
  • Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL

Technical skills that may help you in the role:

  • Experience with Consulting and/or Customer-facing Data Science roles
  • Experience with Data Engineering or MLOps
  • Experience developing WebApps in Javascript, RShiny, or Dash
  • Experience building APIs
  • Experience using enterprise data science tools
  • Passion for teaching or public speaking
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Data Scientist - Denver
Dataiku  
python javascript data science machine learning cloud May 28
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.

Just as the non-technical skills are important, so too are the technical. Our Data Scientists work in the Dataiku platform every day. Aside from the visual tools, our team uses mostly python, with occasional work in other languages (e.g., R, SQL, pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients.

In this role you'll help the team:

  • Co-develop production-level data science projects with our customers
  • Analyze and investigate various kinds of data and machine learning applications across industries and use cases
  • Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
  • Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
  • Develop custom Python or R-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality

You might be a good fit for the role if you have:

  • Curiosity and a desire to learn new topics and skills
  • Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
  • The ability to clearly explain complex topics to technical as well as non-technical audiences
  • 2 - 10 years of experience with ML tools (e.g., Python, R)
  • 2 - 10 years of experience building models  
  • Familiarity with data visualization in python, R
  • Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL

Technical skills that may help you in the role:

  • Experience with Consulting and/or Customer-facing Data Science roles
  • Experience with Data Engineering or MLOps
  • Experience developing WebApps in Javascript, RShiny, or Dash
  • Experience building APIs
  • Experience using enterprise data science tools
  • Passion for teaching or public speaking
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Data Operations Manager
Scribd  
manager java scala data science aws testing May 26
At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we build the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals and more. In addition to works from major publishers and top authors, our community includes over 1.4M subscribers in nearly every country worldwide.

Overview:

Data observability within Scribd is a key focus for your work in our existing data infrastructure. The Data Operations team works with product and engineering to identify what pipelines are important, and together build process, tools, and technology to ensure that downstream consumers can trust our data, Depending on the project, this might involve collaboration with the Data Science or Content Engineering teams to build business-critical pipelines, or working with Business Analytics team to help design data models used for business insights. You would continue to build the Data Operations team as the organization grows. As the Data Operations leader for Scribd, everything you do directly supports our internal stakeholders while helping to grow and understand our business.

What you'll do    

• Work largely with Business Analytics, Finance, and other  stakeholders including engineering teams.
• Assume responsibility for business critical pipelines and the quality of data they generate
• Build a team capable of acting as internal support for higher-level (non-engineering) uses of the data platform
• Lead the team to adopt and ingest newer data sets to continue to power the business as needs change

Required Skills    

• Strong written and verbal communication skills (we're remote!)
• Strong experience with software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
• Working knowledge of Looker, Tableau, Power BI, or some other Business Insights system.
• Experience building and delivering high quality data systems using tools from the Hadoop or Spark ecosystem
• A history of working with cloud-based data platforms.
• Strong operational background with experience building and supporting always-on production data platforms.
• Ability to manage multiple projects simultaneously while driving projects to completion on time and within budget
• Experience writing complex SQL and data modeling

Desired Skills

• Streaming platform experience, typically based around Kafka.
• Spark, Storm, Beam
• Strong understanding of AWS data platform services and their strengths/weaknesses.
• Experience with Java, Scala, or Python
• Thoughts on the tradeoffs between "traditional" data warehouses, data lakes, and other large-scale data organization approaches.
• Opinions on what data governance means and how to scale it up the organization
Benefits, Perks and Wellbeing at Scribd

• Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents
• Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans, and milestone Sabbaticals
• 401k plan through Fidelity,  plus company matching with no vesting period
• Diversity, Equity, & Inclusion hiring best practices
• Stock Options - every employee is an owner in Scribd! 
• Generous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Referral bonuses
• Professional development: generous annual budget for our employees to attend conferences, classes, and other events
• Company-wide Diversity, Equity & Inclusion training
• Learning & Development and Coaching programs
• Monthly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Work-life balance flexibility
• Employee Resource Groups that build community and support among employees
• Company events + Scribdchats
• Free subscription to Scribd + gift memberships for friends & family
• Monthly inclusive multi-cultural celebrations & learning opportunities

Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life

Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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Senior People Systems Analyst
Dataiku  
senior data science May 26
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users. Through DSS, we aim to empower people through data and democratize data science.

The Senior People Systems Analyst will be the lead for Payroll, Absence and Time Tracking, which includes system configuration, enhancements, and deployment efforts. This person will manage absence plans, pay components, and be on the front lines for all inquiries related to payroll and absence management.

What You'll Do

  • Serve as an advanced subject matter expert within Workday Payroll or Workday Absence management module
  • Partner with People function to provide input into new processes, prioritize projects/enhancements, map business processes, implement creative and effective solutions that will shape the way Dataiku operates now and into the future
  • Work with People Systems and People Operations teams to implement and recommend best practices to ensure optimal utilization of Workday including configurations, business processes, data management, security architecture, and reporting
  • Lead Workday functional and technical activities including setup or modifications to pay component groups, leave types, time off types, pay accumulators, and other calculations requiring the Workday calculation engine
  • Leveraging project management and change management leading practices
  • Partnership with IT and cross functional partners for integration requirement, data integrity and testing
  • Partner with the People Analytics team to ensure data is complete, accurate and appropriately mapped for reports, dashboards, and downstream reporting systems.
  • Provide mentoring, coaching and support for People team members including HR Business Partners and HR Administrators
  • Troubleshoot and resolve complex issues and defects with exceptional customer service
  • Continually increase personal knowledge and maintain individual development through training and research
  • Create/Modify Workday reports and/or dashboards based on stakeholder requirements

Who You Are

  • Bachelor’s degree in human resources, computer science, engineering, business administration, or related field
  • 5+ years functional and technical HRIS design, configuration, and administration experience
  • 3+ years specifically with Workday, 1 full life cycle HRIS implementation (preferred)
  • WD certifications for Workday Payroll, Absence, and Time Tracking (preferred)
  • Willingness and passion to learn additional Workday modules including HCM, Absence Management, Time Tracking, Security, and Compensation
  • General knowledge of HR functional areas and workflows
  • Excellent organizational skills and attention to detail
  • Excellent time management skills with a proven ability to meet deadlines
  • Strong analytical and problem-solving skills
  • Ability to prioritize tasks and to delegate them when appropriate
  • Ability to act with integrity, professionalism, and confidentiality
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Senior People Systems Analyst
Dataiku  
senior data science May 25
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users. Through DSS, we aim to empower people through data and democratize data science.

The Senior People Systems Analyst will be the lead for Payroll, Absence and Time Tracking, which includes system configuration, enhancements, and deployment efforts. This person will manage absence plans, pay components, and be on the front lines for all inquiries related to payroll and absence management.

What You'll Do

  • Serve as an advanced subject matter expert within Workday Payroll or Workday Absence management module
  • Partner with People function to provide input into new processes, prioritize projects/enhancements, map business processes, implement creative and effective solutions that will shape the way Dataiku operates now and into the future
  • Work with People Systems and People Operations teams to implement and recommend best practices to ensure optimal utilization of Workday including configurations, business processes, data management, security architecture, and reporting
  • Lead Workday functional and technical activities including setup or modifications to pay component groups, leave types, time off types, pay accumulators, and other calculations requiring the Workday calculation engine
  • Leveraging project management and change management leading practices
  • Partnership with IT and cross functional partners for integration requirement, data integrity and testing
  • Partner with the People Analytics team to ensure data is complete, accurate and appropriately mapped for reports, dashboards, and downstream reporting systems.
  • Provide mentoring, coaching and support for People team members including HR Business Partners and HR Administrators
  • Troubleshoot and resolve complex issues and defects with exceptional customer service
  • Continually increase personal knowledge and maintain individual development through training and research
  • Create/Modify Workday reports and/or dashboards based on stakeholder requirements

Who You Are

  • Bachelor’s degree in human resources, computer science, engineering, business administration, or related field
  • 5+ years functional and technical HRIS design, configuration, and administration experience
  • 3+ years specifically with Workday, 1 full life cycle HRIS implementation (preferred)
  • WD certifications for Workday Payroll, Absence, and Time Tracking (preferred)
  • Willingness and passion to learn additional Workday modules including HCM, Absence Management, Time Tracking, Security, and Compensation
  • General knowledge of HR functional areas and workflows
  • Excellent organizational skills and attention to detail
  • Excellent time management skills with a proven ability to meet deadlines
  • Strong analytical and problem-solving skills
  • Ability to prioritize tasks and to delegate them when appropriate
  • Ability to act with integrity, professionalism, and confidentiality
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Software Engineer
react-js python postgresql kubernetes node-js machine learning May 25

We’re looking for an experienced Software Engineer (Machine Learning) to join our rapidly growing University of Oxford company in our Engineering team. We are a group of passionate, skilled and inquisitive individuals working together in an open, transparent and fun environment, where contributions are encouraged and valued to help achieve our vision of a future where AI and Humans work together to solve the world’s most important problems

ABOUT YOU
You will love getting stuck-in; taking ideas from concept through to production, making elegant and maintainable solutions to complex data-centric problems, and working with an awesome team of like-minded engineers building exciting new products.

Your passion for software engineering and product development will allow you to thrive in our fast-paced start-up environment. Our collaborative, flexible and autonomous way of working will provide an excellent platform for you to grow, learn and explore new technologies and tools, whilst driving us forward to make our vision a reality.

ABOUT THE ROLE
You’ll be joining one of our Product teams, working on integrating new ideas and features into our machine learning platform. Our teams are cross-functional, so you’ll be designing and developing features across a web-based stack and rapidly prototyping, exploring and testing ideas. You will iterate on new features with users, and work out how to apply machine learning to solve real problems.

You will be responsible for driving best practice in how the team integrates and maintains machine learning. Our teams own their code, from design through deployment and into operation, so your work will have real impact. You will also play a significant role in the wider development process, including contributing to discussions on designs and ways on improving the team. Our current stack is in Python and Node for the backend, with Typescript and React for the frontend, all deployed within Kubernetes.

LOCATION
We’ve been working successfully as a fully remote team during the pandemic and are open to this role being remote, part-remote or office based within a (+/- 2hrs GMT).

RESPONSIBILITIES:

  • Prototyping, implementing and adapting ML algorithms to work reliably and efficiently on real-world problems.
  • Developing, implementing, and maintaining infrastructure needed for production-ready machine learning.
  • Working collaboratively in a cross-functional team of engineers to develop and improve product features.

WHAT YOU'LL NEED

  • At least 2 years of commercial software engineering experience working across all parts of the software development life cycle.
  • Experience deploying ML and data pipelines in production applications. You don’t need to be an expert in the latest deep net architecture, but you do need to know how to get that model out of Jupyter and make it useful.
  • Experience working in an iterative Agile environment
  • Experience with Python and at least one other core technology in our stack (React, Node, Flask, PostgreSQL, Kubernetes)

GREAT TO HAVE:

  • Experience with modern data processing and ML frameworks, such as TensorFlow, PyTorch, Spark, Kubeflow, and MLFlow.
  • A broad understanding of data science and statistics.
  • Experience working closely with users, working out what to build and why
  • Experience architecting and designing complex software systems
  • Experience mentoring less tenured developers, helping them grow both their technical and non-technical skills.
  • An interest in data visualisation, and communicating complex data insights.

WHAT’S IN IT FOR YOU?
You mean, as well as joining a talented and fun team of scientists, engineers, storytellers and problem-solvers dedicated to innovation, ethical AI, the pursuit of knowledge and making the world a better place? Well, we believe in investing in our people by encouraging career and personal development. We strive to ensure all staff have the tools, time & support they need to shape their own professional development. We want to help you to be the best at what you do and to allow you to grow with the company.

You’ll enjoy a competitive compensation package, an awesome work environment in Summertown (Oxford, UK), if that’s where you choose to work from.We also offer great benefits such as:

  • Flexible working
  • Professional and personal development
  • Private healthcare (including dental and optical cover)
  • Stakeholder Pension
  • 25 days holiday (plus bank holidays)
  • An opportunity for equity in the company
  • Physical and mental health well-being initiatives e.g. discounts on gym memberships and sportswear & equipment, free fitness & nutrition programmes and professional mental health support sessions
  • Life cover
  • Cycle to work scheme
  • Plus many more e.g. social events, games night, pub lunches, office treats etc - even in our current Covid world!
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This Year

Sales Engineer - Southeast
Dataiku  
java data science machine learning cloud azure May 24
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

If you're ready to take your pre-sales career to the next level, the Dataiku US Southeast Machine Learning Sales Engineering team would like to hear from you. Together, we've built a team that has closed some of Dataiku's most important sales with companies whose names you hear and products you use everyday. We do it by working together to serve our customers in ways that ensure their success.

In this role, you'll help the team:

  • Drive sales of Dataiku by taking primary ownership of the technical relationship with our prospects to drive customer satisfaction by proactively managing and delivering technical information to our customers both onsite and remotely
  • Be the expert that articulates Dataiku’s capabilities in the context of customer needs
  • Qualify revenue opportunities through collaboration with the Account Executive (AE), the Sales Development Representative (SDR), and Sales management
  • Drive engagements with prospective customers by becoming a trusted technical advisor and owning the customer’s success during the presales period
  • Understand and uncover customer business/technical challenges and existing technology stack through discovery meetings
  • Communicate  Dataiku technical differentiation, integration points with existing customer technical ecosystem/workflows, and the technical value proposition
  • Define usage scenarios that illustrate Dataiku’s value within the customer’s specific business cases, and articulate them to internal and external audiences
  • Conduct and coordinate Dataiku demonstrations, Proofs-of-Concept (POC), and evaluations that clearly demonstrate the business value articulated in the usage scenarios to prove that Dataiku delivers the needed value and ROI better than our competitors
  • Coordinate company-wide resources to drive technical engagements forward and provide answers/guidance to customer’s questions
  • Be the voice of the customer internally
  • Collaborate cross-functionally with Product, Engineering, Marketing, and Customer Success to communicate prospective customer priorities
  • Influence roadmap and GTM decisions, infusing prospective customer priorities into every decision we make
  • Support and strategize with partner networks to expand Dataiku support within customers
  • Assist in sales pipeline building activities including attendance at live and/or virtual trade-shows and industry conferences, working with marketing / partners on webinars, events, and other activities specified by sales and sales engineering management
  • Evangelize Dataiku and our vision. Become a recognized voice of the company and thought leader in the industry (spokesperson at events, meetups, active in communities/blogging)

You may be a good fit for the team if you have:

  • Strong natural and intellectual curiosity, especially around being able to map business problems to systems that leverage machine learning 
  • Proficiency in programming languages (Python, R, SQL, Java, etc..) 
  • Adherence to version control (Git)
  • Proven record of projects in data science/machine learning using various algorithms (supervised, semi-supervised, unsupervised, classical, and deep learning approaches)
  • Experience with cloud data storage and services (AWS, Azure, GCP) 
  • Understanding of the machine learning lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations 
  • Hands on experience with computational resources and frameworks (containerization, Kubernetes, Spark) 
  • Knowledge of Kubeflow, Airflow, or other orchestration tools
  • Experience in technical pre-sales or consulting in a fast paced environment preferred but not required
  • Excellent communication and presentation skills, and comfortable talking to all levels of customer teams, from individual contributors to C-level executives

Benefits:

  • Opportunity to join Dataiku early on and help scale the company
  • Competitive compensation package, equity, health benefits, and paid vacation
  • Trips to Paris, our European HQ (post Covid)
  • Opportunity to work with a smart, passionate and driven team
  • Dataiku has a strong culture based on key values: Ownership, Passion, Autonomy and Friendliness
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Senior Backend Software Engineer
Team Go  
go docker postgresql backend senior data science May 24

The Role


The Backend Software Engineer is the technologist responsible for designing, developing, and maintaining our core Federated GraphQL APIs and backend micro services for all Go products and services.
The ideal candidate:

  • Loves to build maintainable APIs for client teams and work.

  • Has real-world experience designing and deploying Microservices and Federated GraphQL Schemas

  • Has experienced all stages of a software product lifecycle; from building an early alpha, to rapidly iterating measuring and learning, and on past large scale adoption.

  • Has a good understanding of Docker, managed Container Services, and the role they play in a microservices architecture.

  • Has experience designing solutions that run on AWS, Functions and ECS

  • Sees value in Unit Testing and striving for high code coverage

  • Enjoys mentoring junior developers and setting team coding standards

  • Takes downtime personally and is willing to respond to and troubleshoot production outages in real-time.
You must have professional, production experience in:

  • Node.js as TypeScript

  • MongoDB via Mongoose

  • SQL (AWS PostgreSQL a bonus!)

  • GraphQL using Apollo Server

  • Microservices architecture and deployments

  • AWS (e.g. S3, EC2, Lambda, etc)

  • Docker

  • An understanding of DevOps and Infrastructure as Code
As we are a startup, we are still building toward our ultimate vision, and are still building out our technical infrastructure. You will be one of a handful of engineers with a hand in charting the course! Planned upcoming technologies include:

  • Postgres or similar SQL database for data science & analytics-type work.

  • Redis or similar caching solution for common data reads (and some writes).

  • Pub/Sub or similar messaging/queueing system for processing asynchronous out-of-request tasks.

  • Federated GraphQL API Gateway
Tools we use every day:

  • Gitlab, and Jira for source control, PRs, and task & issue management

  • Confluence for Product and Feature requirements

  • Slack for team communications

  • Google Workspace for file storage, email, etc
Bonus experience includes:

  • Experience in recommendation or machine learning systems

  • Container services such as Docker and Kubernetes

  • Production availability & performance monitoring

  • Advanced Mongo Database experience with performance tuning

  • Experience with Database search and indexing solutions
The role requires at least five years of experience on a team building production client-server backend software deployments.

About Team Go

We use technology to inspire and empower humanity, and to enrich real-life relationships withfriends, family, and community because we believe in a world where social technology unites usand makes us happier. We started on this mission by putting together a team of people to fixsocial isolation and bring people together to do things they love.
By looking at how people make plans with one another, we built the Go app around peoples’existing behaviors: sharing plans with our friends, inviting friends to collaborate, finding time tohang out, and the last (best) part: making it all happen in real time, in real life.
We also want the local businesses in your community to be part of the conversation, whichsupercharges the Go app and helps you find what you love to do and do it with the people youalready know.
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Enterprise Account Executive - Southeast
Dataiku  
executive data science big data May 21
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

Dataiku is looking for an experienced Account Executive to join our team and cover the Southeast. Since the launch of our company in the US, we have experienced healthy growth and steady market demand. This is an individual contributor position, newly added due to business expansion.

We’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network in the Southeast region. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our product, Dataiku.

The Account Executive is responsible for the entire sales cycle, while being able to leverage various company resources, to reach a successful collaboration with the prospect. Dataiku has great momentum and at this early stage, the Account Executive is likely to work cross functionally with Marketing, Product Management and Engineering.

You might be a good fit if you have:

  • 10+ years experience in software field sales
  • Strong belief in a customer centric selling philosophy and applying a consultative approach in customer interactions
  • Background in selling innovation and new concepts to large Enterprises
  • Strong ability to develop a vision match with prospects and customers, to develop alignment across different groups and cultivate champions
  • Good articulation of competitive positioning
  • Comfortable traveling 30 to 50%
  • Desired Skills Experience in ‘data’ – big data, analytics, data science, BI/DW, data integration
  • Early start-up experience a plus!

Benefits:

  • Opportunity to join Dataiku early on and help scale the company
  • Competitive compensation package, equity, health benefits, and paid vacation
  • Trips to Paris, our European HQ (post Covid)
  • Opportunity to work with a smart, passionate and driven team
  • Dataiku has a strong culture based on key values: Ownership, Passion, Autonomy and Friendliness
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Enterprise Account Executive - Southeast
Dataiku  
executive data science big data May 21
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

Dataiku is looking for an experienced Account Executive to join our team and cover the Southeast. Since the launch of our company in the US, we have experienced healthy growth and steady market demand. This is an individual contributor position, newly added due to business expansion.

We’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network in the Southeast region. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our product, Dataiku.

The Account Executive is responsible for the entire sales cycle, while being able to leverage various company resources, to reach a successful collaboration with the prospect. Dataiku has great momentum and at this early stage, the Account Executive is likely to work cross functionally with Marketing, Product Management and Engineering.

You might be a good fit if you have:

  • 10+ years experience in software field sales
  • Strong belief in a customer centric selling philosophy and applying a consultative approach in customer interactions
  • Background in selling innovation and new concepts to large Enterprises
  • Strong ability to develop a vision match with prospects and customers, to develop alignment across different groups and cultivate champions
  • Good articulation of competitive positioning
  • Comfortable traveling 30 to 50%
  • Desired Skills Experience in ‘data’ – big data, analytics, data science, BI/DW, data integration
  • Early start-up experience a plus!

Benefits:

  • Opportunity to join Dataiku early on and help scale the company
  • Competitive compensation package, equity, health benefits, and paid vacation
  • Trips to Paris, our European HQ (post Covid)
  • Opportunity to work with a smart, passionate and driven team
  • Dataiku has a strong culture based on key values: Ownership, Passion, Autonomy and Friendliness
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Senior Manager Data Engineering
Scribd  
senior manager data science aws May 17
At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we build the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals and more. In addition to works from major publishers and top authors, our community includes over 1.4M subscribers in nearly every country worldwide.

What you'll do

Data quality and integrity are two areas of focus for your work in our existing, organically-grown data infrastructure. You would be helping to build the data engineering team, and would work with product teams to clarify what data pipelines are important, and then work with them to build process, tooling, and technology to ensure that downstream customers can trust the data they're consuming. Depending on the project, this might involve collaboration with the Data Science and Content Engineering teams to identify business-critical Hive tables, or working with Core Platform to suggest better approaches for scaling streaming data sets. Almost everything you would be working on would be to increase the "customer satisfaction" for internal customers of Scribd data.

You'll have (Requirements)

• Strong written and verbal communication skills (we're remote!)
• Strong mentoring skills and experiencing training and educating teammates or colleagues.
• Experience building and delivering high quality data systems using tools from the Hadoop or Spark ecosystem
• Experiencing structuring large scale datasets in S3.
• Fluency with at least one dialect of SQL (MySQL and Spark SQL preferred)
• Ability to develop software, whether scripts for shuffling data around, batch tasks, or stream processing units.

Nice to Have (Bonus Points)

•  Streaming platform experience, typically based around Kafka, Spark, Storm, Beam
•  Working knowledge of how to build, train, and deploy ML models.
•  Strong understanding of AWS data platform services and their strengths/weaknesses.
•  Opinions on what data integrity means and how to scale it up the organization. 
•  Working knowledge of Sqoop, Hive, Impala, and HDFS
Benefits, Perks and Wellbeing at Scribd

• Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents
• Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans, and milestone Sabbaticals
• 401k plan through Fidelity,  plus company matching with no vesting period
• Diversity, Equity, & Inclusion hiring best practices
• Stock Options - every employee is an owner in Scribd! 
• Generous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Referral bonuses
• Professional development: generous annual budget for our employees to attend conferences, classes, and other events
• Company-wide Diversity, Equity & Inclusion training
• Learning & Development and Coaching programs
• Monthly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Work-life balance flexibility
• Employee Resource Groups that build community and support among employees
• Company events + Scribdchats
• Free subscription to Scribd + gift memberships for friends & family
• Monthly inclusive multi-cultural celebrations & learning opportunities

Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life

Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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Software Engineer
go kubernetes javascript elasticsearch vue-js golang May 17

We are seeking a talented software engineer to join our newly formed engineering team. Our organization is building tools for data collection, processing, and visualization to serve the needs of Parenthetic's communications analysts. An ideal candidate will have experience working across the stack, from building UIs to deploying APIs on k8s. You will be responsible for building prototype products, developing interfaces for internal and external customers, creating roadmaps, and refining our architecture. As this is a new team, we are looking for candidates who are willing to help grow the organization by taking on a range of responsibilities across the technical spectrum and are interested in learning new skills.

Responsibilities
Your job will be primarily to:

  • Gather requirements, design solutions, and implement features for new products and tools.
  • Develop tools and APIs for a scalable, distributed data processing pipeline.
  • Design and implement data access patterns for internal use by analysts, data scientists, and applications.
  • Provide input into architectural decision making, system roadmaps, and development milestones.
  • Understand user needs, collect feedback, and test solutions to customer challenges.
  • Participate in the full software lifecycle, including maintaining and operating deployed software.

Requirements

The position may require occasional on-site work in Northern Virginia for team and client meetings.

Work Experience and Skills

  • 3+ years of experience in the software engineering field (this is flexible depending on academic work).
  • Experience developing software in Golang (especially microservice frameworks like Gin and/or CLI tools).
  • Ability to create prototype webapps and dashboards for internal use using Javascript and frameworks like Vue.js.
  • Experience with most of the technologies/services in our stack: GCP, Docker, Kubernetes, Helm, PostgreSQL, Elasticsearch, Prometheus, Kafka, Terraform, Gitlab.
  • Ability to write structured and documented code that is tested and maintainable.
  • Demonstrate organized thinking, with the ability to translate internal and external customer needs into development targets.
  • Aptitude for learning quickly and a willingness to take on a wide range of responsibilities.

Preferred Qualifications

  • BS or Master’s degree in computer science or a related field.
  • Proficiency developing CI/CD pipelines using Gitlab CI.
  • Experience working with data science teams and the MLOps cycle.
  • Prior work in the marketing/communications and/or defense sectors.
  • Ability to obtain and/or maintain a US government security clearance.
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Business Development Representative - Nordic Region
Dataiku  
data science big data May 17
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users. Through DSS, we aim to empower people through data and democratize data science.

We are looking for a results-driven and hands-on Business Development Representative to lead Dataiku business development activities. Located in London, your role will be to identify and qualify new sales opportunities to grow Dataiku sales for the Nordics markets. You must have the ability to understand the sales development process and technology stack and ensure its adoption. We need a self-starter motivated to constantly improve and optimize the process to drive performance.

WHAT YOU'LL DO:

  • Generate a large volume of leads through outbound activity - connecting via phone, email and LinkedIn and qualifying them
  • Engage with our Sales and Marketing executives to design, research and execute outbound vertical and/or geographical markets campaigns to grow sales pipeline in a dedicated territory
  • Work with our Sales Executives to prospect and close large enterprise dealsEducate and nurture early-phase prospects for potential future opportunities
  • Demonstrate knowledge of Dataiku DSS and its value proposition and an understanding of the Big Data ecosystem to converse with data and business leaders from SMB to high-growth companies, to large multinationals in industries such as e-commerce, retail, bank, insurance, utilities, and transport
  • Analyze and report on your weekly activities to identify potential optimizations

WHO YOU ARE:

  • You have strong interpersonal skills and excellent verbal and written communication skills in English and Swedish or Finnish
  • You are a self-starter 
  • You thrive in collaborative environments where you are able to work with team members in cross-functional departments including Sales, Marketing and Sales Engineering to achieve a common goal
  • You have some relevant experience and proven success in sales or business development in the software/tech industry or in a startup
  • You have demonstrated organizational and project management skills with the ability to handle pressure and a high volume of tasks in a result-oriented environmentYou are analytical and understand the need to track everything you do
  • You have a keen interest in the Analytics space and are excited about how businesses use Data Science to innovate
  • This is a great opportunity to be trained in an efficient sales methodology, in growing, a competitive market with a great chance to grow in the company
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Product Lead / Senior Product Lead - Health Plan and Insurance Pricing
senior data science healthcare May 14
Our health system is broken, and it’s a huge problem. Costs are rising out of control while the patient experience gets worse. At Sana, we're passionate about fixing this problem by bringing accessible and affordable health plans to small and medium businesses. We've built an innovative team with top talent from across the health insurance and tech industries to create engaging, modern plans for our clients. This allows our customers to offer competitive benefits packages while paying an average of 20% less than traditional plans.

At Sana Benefits, we are building an integrated health plan centered on accountable primary care, consumer advocacy and digital care delivery to achieve superior consumer experience, better health and lower costs. And reimagining pricing, benefit design and administration of health benefits are foundational to this mission. As our business continues to grow, so will the opportunities to innovate, automate flexibility and scale our infrastructure, platforms and data science.  

We are looking for a brilliant Technical Product Manager to be responsible for product performance, development of a product roadmap, and execution of strategic initiatives. You’ll collaborate with actuarial, underwriting, plan administration, sales, marketing, product, design, engineering and data science to deliver technology that our internal teams can delightfully and efficiently use to deliver innovative products at scale.

What you will do

  • Own the strategy, roadmap, build, delivery and lifecycle management of infrastructure, platforms and services that drive pricing  and administration of health plan benefits
  • Lead and partner with cross-functional stakeholders to identify and prioritize initiatives that make our products market competitive, user-preferred, and maximally impactful
  • Define the frameworks and metrics through which you will measure success, and monitor and analyze those metrics to track progress and inform prioritization
  • Deeply understand the needs of target users and stakeholders, including regulatory and compliance constraints
  • Understand and track emerging data, analytics and technology trends and evaluate innovators’ technical capabilities
  • Identify and drive integrations with 3rd-party data, APIs and services that can create more seamless and valuable systems

About you

  • 3-5 years (Product Lead) or 5+ years (Senior Product Lead) of relevant experience
  • Collaboration: Strong and flexible communication skills to work with stakeholders in making tradeoff decisions and prioritizing requests.
  • Results: A track record of delivering on data and software-based initiatives that create business impact.
  • Bias to Action: strong project management skills, can think creatively and strategically about how to solve a problem, adapt to changing context, unstuck the team and drive towards a decision.
  • Analytical: excel at getting the information needed to prove/disprove a hypothesis using research and data.
  • A desire to join a remote-first team.
  • Low ego. High empathy.
  • Strong knowledge in at least one of these areas: actuarial, underwriting, pricing, claims processing, benefit design or insurance space. 
  • Undergraduate or graduate degree in engineering, computer science or other technical field, or equivalent.
About Sana
Sana is a modern health plan solution for small and medium businesses. We use a more efficient financing structure and integrated technology solutions to cut out wasteful spending and get members access to better quality care at lower cost. Founded in 2017, we are an experienced team of engineers, designers and health system operators. We have the financial backing of Silicon Valley venture firms and innovative reinsurance partners. If you are excited about building something new and being a part of fixing our broken healthcare system from the inside, please reach out!
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Software Engineer
python kubernetes react-js aws postgresql javascript May 14

We’re looking for an experienced Software Engineer to join the rapidly growing team in our University of Oxford machine learning start-up. We are a group of passionate and talented individuals working together to achieve our vision of a future where AI and Humans collaborate to solve the world’s most important problems.

Location: We’ve been working successfully as a fully remote team during the pandemic and are open to this role being remote (within a (+/- 2hrs GMT), part-remote or office based as well as offering flexible working options. It is likely that many of our staff will choose to remain as remote workers going forward and so we are able to offer a fully inclusive and integrated team to anyone opting for a remote role.

ABOUT YOU
You will love getting stuck-in; taking ideas from concept through to production, making elegant and maintainable solutions to complex data-centric problems, and working with an awesome team of engineers building exciting new products.

Your passion for software engineering and product development will allow you to thrive in our start-up environment. Our collaborative, flexible and autonomous way of working will provide an excellent platform for you to grow, learn and explore new technologies and tools, whilst driving us forward to make our vision a reality.

ABOUT THE ROLE
You'll spend an initial period with our Engineering team learning our methodologies and stack before moving to work alongside our machine learning client team, supporting them by delivering expert advice and bespoke working solutions for clients and potentially for onward deployment into our product solutions. You’ll also work with the Product teams as we integrate new ideas into our machine learning platform or tackle a particular business need. You should expect to work closely with platform-engineers to provide ideas and generally get stuck in to help make something work as it should.

You’ll be responsible for driving software engineering best practice at all times. Designing and developing features across all levels of web-based systems (full-stack) and rapidly prototyping, exploring and testing ideas. It will involve building and iterating on new features with users to help solve real problems.

We understand that there may not be such a thing as ‘the perfect candidate’ and no single person can do it all. However, if this sounds like you, or what you believe you can achieve, and you're looking for somewhere you can thrive, we would love to hear from you.

WHAT YOU’LL NEED

  • Strong technical skills across multiple levels of a web-app stack - we don't expect everyone to be an expert in every aspect of frontend, backend & devops, but you’ll need to have skills & experience across multiple levels.
  • At least 4 years of commercial software engineering experience across all parts of a software development life cycle
  • Experience working in an iterative Agile environment
  • Fluent with at least one of our core programming languages (Java, JavaScript/TypeScript or Python)
  • Experience with at least two of the core technologies in our stack (React, Spring, Flask, PostgreSQL, Kubernetes, Machine Learning)
  • A degree in a technical discipline such as Mathematics, Computer Science, Physics, etc. or equivalent commercial experience.

GREAT TO HAVE

  • Wider software engineering skills (e.g. scripting, ops, ui/ux, design, databases, etc)
  • Experience architecting and designing complex software systems
  • Experience working closely with users, working out what to build and why
  • Understanding of Machine Learning, AI or Data Science, including experience deploying ML in production or commercial applications
  • Familiarity with other technologies in our stack (protobuf/grpc, Apache Arrow, Parquet, Redux, AWS, Node)
  • Experience with modern numeric or big data frameworks, such as TensorFlow, PyTorch, Spark, Numba, Kafka

WHAT’S IN IT FOR YOU?
As well as joining a talented and fun team of scientists, engineers, storytellers and problem-solvers dedicated to innovation, ethical AI, the pursuit of knowledge and making the world a better place? Well, we believe in investing in our people, encouraging career and personal development through training programmes and performance assessments to help you to be the best at what you do and allow you to grow with the company.

You’ll enjoy a competitive compensation package, an awesome work environment in Summertown (Oxford, UK) for those who choose to be office/part-office based. We have a strong social scene, even if by Zoom, and some of us can't wait to get back to our face to face team lunches, pub Wednesday's, office snacks and our sorely missed coffee machine, however we also offer great benefits such as:

  • Flexible and remote working
  • Professional and personal development
  • Private healthcare (including dental and optical cover)
  • Pension
  • 25 days holiday (excl bank holidays)
  • An opportunity for equity in the company
  • Physical and mental health well-being initiatives e.g. discounts on gym memberships and sportswear & equipment, free fitness & nutrition advice and professional mental health support sessions
  • Life cover
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Analytics Product Manager Intern
 
manager product manager python data science big data cloud May 13
Couchbase is looking for a technical product management intern who is driven, technologically savvy, and is motivated by the opportunity to wear multiple hats. In this role, you’ll support the product management team to focus on leading edge document database analytics. You’ll partner with marketing, engineering, field sales to perform research and competitive analysis as well as setup technical capabilities of our latest product features. Additionally you will develop skill sets around product requirements, learn cloud storage and analytics and make recommendations to the product team on your findings. This role provides the chance to learn from some of the best, and have direct business impact.

Responsibilities

  • Passionate about technology, enterprise software, research, analytics and product management
  • Partner with our product leaders to further research, validate and formulate an execution strategy for Analytics capabilities for next 2 years
  • Develop Couchbase (CB) N1QL for Analytics queries on competitor’s cloud environments
  • Setup technical environments to execute Python ML models with Couchbase Analytics
  • Research object storage model (similar to AWS S3) on Google Cloud and document into a market-driven product requirements document
  • Work on core product features that have direct user impact and collect market data is necessary to inform product decisions
  • Present your findings and recommendations to the product leadership team

Preferred Qualifications

  • Quick and eager to learn new technologies and methodologies
  • Looking to pursue a technology or product management career
  • Detail oriented with ability to multitask
  • Previous experience with analytics, business intelligence, data science or statistical modeling is desirable
  • Due to COVID-19, Couchbase is still in a work from home posture so ability to work remotely is necessary
About Couchbase

Couchbase's mission is to be the platform that accelerates application innovation. To make this possible, Couchbase created an enterprise-class, multi-cloud NoSQL database architected on top of an open source foundation. Couchbase is the only database that combines the best of NoSQL with the power and familiarity of SQL, all in a single, elegant platform spanning from any cloud to the edge.  
 
Couchbase has become pervasive in our everyday lives; our customers include industry leaders Amadeus, AT&T, BD (Becton, Dickinson and Company), Carrefour, Comcast, Disney, DreamWorks Animation, eBay, Marriott, Neiman Marcus, Tesco, Tommy Hilfiger, United, Verizon, Wells Fargo, as well as hundreds of other household names.

Couchbase’s HQ is conveniently located in Santa Clara, CA with additional offices throughout the globe. We’re committed to a work environment where you can be happy and thrive, in and out of the office.

At Couchbase, you’ll get:
* A fantastic culture
* A focused, energetic team with aligned goals
* True collaboration with everyone playing their positions
* Great market opportunity and growth potential
* Time off when you need it.
* Regular team lunches and fully-stocked kitchens.
* Open, collaborative spaces.
* Competitive benefits and pre-tax commuter perks

Whether you’re a new grad or a proven expert, you’ll have the opportunity to learn new skills, grow your career, and work with the smartest, most passionate people in the industry.

Revolutionizing an industry requires a top-notch team. Become a part of ours today. Bring your big ideas and we'll take on the next great challenge together.

Check out some recent industry recognition:

Want to learn more? Check out our blog: https://blog.couchbase.com/

Couchbase is proud to be an equal opportunity workplace. Individuals seeking employment at Couchbase are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws.

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Senior Backend Engineer, Growth
 
backend senior java python javascript data science May 10
Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, we will provide the choice to work from home or return to work in an office unless a job requirement makes it necessary for a particular role to be performed at an Atlassian office.

JOB DUTIES:
DELIVER MEASURABLE IMPACT ITERATIVELY AND WILL WORK ON QUALITATIVE AND QUANTITATIVE DATA. DRIVE FEATURE DELIVERY END TO END AND PIVOT THESTRATEGY. UTILIZE COMPANY’S SEGMENTATION PLATFORM TO DELIVER TARGETED EXPERIENCES. WORK WITH MULTIPLE TEAMS AND ACROSS A BROAD RANGE OF TECHNICAL STACKS AND UTILIZE JAVA AND ITS ECOSYSTEM TO BUILD THE SOFTWARE PRODUCT AND SERVICES THAT PROVIDE BEST IN CLASS CUSTOMER EXPERIENCE. WORK ON SOFTWARE AS A SERVICE (SAAS), PLATFORM AS A SERVICE (PAAS), AND INFRASTRUCTURE AS A SERVICE (IAAS) INDUSTRY, PUBLIC CLOUD OFFERINGS (E.G., AWS, GAE, AZURE). WORK WITH STRUCTURED QUERY LANGUAGE (SQL) AND A/B TESTING. LIAISE WITH MARKETING, PRODUCT, PLATFORM AND DATA SCIENCE TEAMS.

MINIMUM REQUIREMENTS:
MASTER’S DEGREE IN COMPUTER SCIENCE OR COMPUTER ENGINEERING OR CLOSELY RELATED FIELD AND 2 YEARS’ EXPERIENCE IN SOFTWARE DEVELOPMENT USING A MODERN, OBJECT ORIENTED PROGRAMMING LANGUAGE, SUCH AS C++, PYTHON, JAVA, JAVASCRIPT OR TYPESCRIPT AND WORKING WITH CROSS-FUNCTIONAL TEAMS ACROSS DIFFERENT PARTS OF THE ORGANIZATION, INCLUDING OTHER ENGINEERING TEAMS AND PRODUCT MANAGEMENT, WITH AT LEAST 2 YEARS’ EXPERIENCE LEADING PROJECTS WITH A SMALL TEAM OF ENGINEERS THROUGH THE SOFTWARE DEVELOPMENT LIFECYCLE FROM INCEPTION TO COMPLETION AND RELEASE.

ALTERNATE REQUIREMENTS:
BACHELOR’S DEGREE IN COMPUTER SCIENCE OR COMPUTER ENGINEERING OR CLOSELY RELATED FIELD AND 5 YEARS’ EXPERIENCE IN SOFTWARE DEVELOPMENT USING A MODERN, OBJECT ORIENTED PROGRAMMING LANGUAGE, SUCH AS C++, PYTHON, JAVA, JAVASCRIPT OR TYPESCRIPT AND WORKING WITH CROSS-FUNCTIONAL TEAMS ACROSS DIFFERENT PARTS OF THE ORGANIZATION, INCLUDING OTHER ENGINEERING TEAMS AND PRODUCT MANAGEMENT, WITH AT LEAST 2 YEARS’ EXPERIENCE LEADING PROJECTS WITH A SMALL TEAM OF ENGINEERS THROUGH THE SOFTWARE DEVELOPMENT LIFECYCLE FROM INCEPTION TO COMPLETION AND RELEASE.

SPECIAL REQUIREMENTS: 
MUST PASS TECHNICAL INTERVIEW.
More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.

All your information will be kept confidential according to EEO guidelines.

If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Partner Manager - West
Dataiku  
manager data science cloud May 10
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

We are looking for a sharp, highly motivated Partner Manager based in the western US to manage and scale our ecosystem of system integrator, consulting and technology partners in the region.  Your main objective will be to drive field engagement with our partner ecosystem to deliver joint customer success and grow Dataiku’s market presence in the region.  You’ll work closely with our field sales, marketing, and customer success teams and our partners to build, position, and deliver analytic solutions that deliver material business value to our joint customers.  

This is an opportunity to be part of an all-star team at the center of a strategic initiative focused on fueling Dataiku’s growth. You will be responsible for recruiting, onboarding, and enabling partners and managing go-to-market programs and field execution with our sales teams to deliver innovative AI solutions and grow our community of raving fans.

A proven creative, organized, collaborative approach to work will set you apart from your peers.

You might be a good fit if you have/are:

  • 5+ years experience in developing partnerships and revenue-generating partner relationships.
  • Experience in “data” – AI\BI, analytics, data science, data integration, data platforms, cloud, etc.
  • Ability to manage and prioritize multiple initiatives for maximum impact
  • Strong belief in a customer-centric selling philosophy and applying a consultative approach in customer/partner interactions
  • A background in developing and positioning innovative business solutions
  • Strong ability to develop joint value propositions with partners and cultivate champions within partner organizations
  • Strong presentation, negotiation, and business planning skills
  • Ability to articulate competitive positioning and differentiation
  • Desire to work in a fast-paced, collaborative environment with the ability to adapt to change
  • Comfortable working with ambiguity, prioritizing efforts, and building a plan to execute against growth
  • Strong project and relationship management - you’ll spend a lot of time working with external individuals to successfully launch and grow our partnerships
  • Ability to travel up to 30%
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Data Scientist - Central
Dataiku  
python javascript data science machine learning cloud May 07
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku
with other tools and technologies, some user training, and co-developing data science projects from design to deployment.

Just as the non-technical skills are important, so too are the technical. Our Data Scientists work in the Dataiku platform every day. Aside from the visual tools, our team uses mostly python, with occasional work in other languages (e.g., R, SQL, pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients.

In this role you'll help the team:

  • Co-develop production-level data science projects with our customers
  • Analyze and investigate various kinds of data and machine learning applications across industries and use cases
  • Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
  • Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
  • Develop custom Python or R-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality

You might be a good fit for the role if you have:

  • Curiosity and a desire to learn new topics and skills
  • Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
  • The ability to clearly explain complex topics to technical as well as non-technical audiences
  • 2 - 10 years of experience with ML tools (e.g., Python, R)
  • 2 - 10 years of experience building models  
  • Familiarity with data visualization in python, R
  • Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL

Technical skills that may help you in the role:

  • Experience with Consulting and/or Customer-facing Data Science roles
  • Experience with Data Engineering or MLOps
  • Experience developing WebApps in Javascript, RShiny, or Dash
  • Experience building APIs
  • Experience using enterprise data science tools
  • Passion for teaching or public speaking
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Senior Data Scientist, Product Analytics
 
senior python data science saas devops May 06
Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, we will provide the choice to work from home or return to work in an office unless a job requirement makes it necessary for a particular role to be performed at an Atlassian office.

Do you get excited by the challenge of scaling a fast-growing company by powering it with data? Are you intrigued by the ever-evolving landscape of workplace collaboration products?

Using your eye for business and creative problem solving, you will build data products and generate insights that will allow our business and product leaders to make better-informed decisions. We’re growing fast, so there’ll be tons of opportunities for you to make an impact and take charge of the direction of your work.

Product Analytics at Atlassian is multidisciplinary. The flawless teammate is someone who has the skills to surface insights quickly, and communicate those insights in a way that persuades action by senior leaders, product managers, designers, marketers and engineers. You'll use SQL, R, and/or Python often, but you won't be at your desk all day. Part of your job is to improve the data literacy of your product team, teaching people when, where, and how to harness the data available.

You’ll be working within our JSM Product Analytics team collaborating primarily with the Jira Service Management (Sydney, Bangalore and Ankara) teams. These teams are working to build and develop Atlassian products to unleash the potential of Customer’s DevOps and ITSM teams!!

On your first day, we'll expect you to have:

  • Proven experience applying your analytics skills to projects which have had a positive impact to strategic and product roadmap decisions
  • Strong ability to communicate. Explaining complex concepts to diverse audiences, crafting compelling stories, and managing multiple stakeholders
  • Expertise and experience in working with very large data sets in SQL
  • Expertise and experience in modelling and visualisation in another data programming language (Python, R, etc.)
  • Proficiency in one or more analytics and visualisation tools (e.g., Tableau, Mode, Power BI)
  • Expertise in foundational statistics (data distributions, inferential statistics, probability etc.) and modelling (regression, classification, clustering etc.)

It's great, not required, if you have:

  • Familiarity with event-based analytics, data instrumentation and logging
  • Experience in breaking down complex problems using MECE frameworks
  • Experience in designing and analysing experiments that drive key decisions
  • Experience working in a global environment with remote teams
  • Knowledge of and experience with widely-used workplace collaboration tools and integrations between those tools
  • An understanding of the SaaS development, business model and metrics
  • Are an active member of the broader analytics and data science community
More about our team

The Product Analytics team’s mission is improve every decision in the product. We work across the entire build-measure-learn cycle of product development. We inform high level strategy by analysing the business. But we also drive insights from user behavioural data and seek to make a positive impact to the way our customers use our products in their day-to-day work. We are a highly collaborative team with a high bar of rigorous analyses, and we love to have fun along the way.

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.

Atlassian is committed to providing reasonable accommodations to all individuals participating in the application and interview process, and while performing job functions. Please note that you will have the opportunity to request accommodations at each stage of the assessment process. To request accommodations before scheduling an interview, please reach out to atlassian-accommodations@atlassian.com and someone will follow up shortly.

All your information will be kept confidential according to EEO guidelines.

If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Senior Data Analyst, Marketing Research
senior python data science machine learning testing api May 06
About Kraken

Kraken is changing the world. Join the revolution!

Our mission is to accelerate the adoption of cryptocurrency so that you and the rest of the world can achieve financial freedom and inclusion. Founded in 2011 and with over 4 million clients, Kraken is one of the world’s largest, most successful bitcoin exchanges and we are growing faster than ever. Our range of successful products are playing an important role in the mainstream adoption of crypto assets. We attract people who constantly push themselves to think differently and chart exciting new paths in a rapidly growing industry. Kraken is a diverse group of dreamers and doers who see value in being radically transparent.

In our first decade Kraken has risen to become one of the best and most respected crypto exchanges in the world. We are changing the way the world thinks about money and finance. The crypto industry is experiencing unprecedented growth and Kraken is leading the charge. We’ve grown from 70 Krakenites in January 2017 to over 1800 today and we have no intention of slowing down.

About the role  

This is a fully remote role, we will consider applicants based in North America, South America and Europe  

We are looking for Data Analysts who will play a key role in driving decision making in improving Kraken’s Brand. You will transform large datasets from complex systems, generate actionable insights and share the results with stakeholders at all levels of the company. You will partner and lead projects with Brand & Marketing, product management, engineering, client engagement, finance and other enterprise level teams.  

You are a self-starter, results driven and passionate to drive success of products at Kraken using the power of data analytics. 

If you are an experienced data detective who is passionate about creating world class data-driven marketing focused programs at a rapidly growing organization, apply today! 

Responsibilities

  • Conduct market research, lead analysis and propose recommendations to help develop and grow the Kraken brand globally
  • Track performance of campaigns, announcements and launches and identify areas / opportunities for improvement
  • Use a variety of tools to perform constant review and research of the competitive landscape across channels
  • Develop data-informed and visually-pleasing reports to showcase the impact of marketing initiatives and campaigns
  • Build effective and user-friendly dashboards, and provide training to end users on how to navigate them
  • Conduct internet searches, monitor trends, and use research vendor websites and communications to maximize research support with limited resources
  • Develop and execute surveys or other methods of gaining consumer insights and provide detailed analysis of the findings

Requirements

  • 5+ years of experience in data analytics with at least 5 years in marketing analytics
  • Knowledge of API and programming languages like Python, R
  • Advanced knowledge of SQL
  • Ability to plan/deliver customer surveys, experience with Qualtrics and other survey platforms as well as Tableau required
  • Experience with client segmentation across B2B and B2C marketplaces 
  • Experience with leading market research initiatives from ideation to execution
  • Experience with applied statistics skills, such as distributions, statistical testing, regression, etc
  • Ability to understand and analyze datasets required for machine learning and AI algorithms
  • Familiarity with data warehouse development and best practices
  • The versatility and willingness to learn new technologies on the job
  • The ability to clearly communicate complex results to technical and non-technical audiences

Nice to have

  • Familiarity with cryptocurrency ecosystem
  • Worked with media monitoring services such as Cision or Meltwater
  • BA/BS or MA/MS degree in Mathematics, Statistics, Information Systems, Computer Science, Business Analytics, Data Science or related technical field
  • Master's degree in Business Administration, Marketing or related field
We’re powered by people from around the world with their own unique backgrounds and experiences. We value all Krakenites and their talents, contributions, and perspectives.

Check out all our open roles at https://www.kraken.com/careers. We’re excited to see what you’re made of.  

Learn more about us

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Marketing Content Manager
Dataiku  
manager data science May 06
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

Dataiku’s mission is big: to enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more. But it’s not just about technology and processes; at Dataiku, we also believe that people (including our people!) are a critical piece of the equation.

Dataiku is looking for a Marketing Content Manager to assist in building, launching, managing, and optimizing campaigns around marketing assets.

Responsibilities

  • Writing original content for Dataiku’s blog and long-form content (white papers, guidebooks, etc.).
  • Managing a content calendar and ensuring regular content cadence.
  • Identifying customer/prospect needs and gaps in our content and recommending new topics.
  • Crafting messaging around marketing assets for maximum exposure (including on Dataiku’s website, social media, and in advertising).
  • Coordinating with other teams across the company to ensure content consistency and accuracy, including design, data science, and customer success.
  • Creating collateral like landing pages, social messaging, follow-up engagement emails, and more.
  • Analyzing and evaluating the effectiveness of messaging to make improvements.

Requirements

  • Undergraduate degree in a relevant field (Journalism or English preferred).
  • 1-5 years experience in a B2B content marketing role.
  • Ability to work independently on many projects simultaneously, including writing while also tightly managing a content calendar.
  • Proven ability to take brand values and messaging and infuse them into both thought leadership as well as technical content.
  • Experience in or inclination toward technology (especially related to data science and machine learning).

You are our ideal candidate if you:

  • Have a passion for tech + writing clear, bold copy about technical topics.
  • Understand the complexities of messaging across multiple audiences and channels and are comfortable writing for different personas and media.
  • Can bring a data-driven mindset to content creation.

Benefits

  • Opportunity to join Dataiku early on and help scale the company.
  • Competitive compensation package, equity, health benefits, and paid vacation
  • Trips to Paris (our European HQ).
  • Opportunity to work with a smart, passionate and driven team.
  • Dataiku has a strong culture based on key values: Ownership, Passion, Autonomy and Friendliness.
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Commercial Customer Success Manager
Dataiku  
manager data science May 06
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

We have Customer Success & Implementation (CSI) professionals in the field implementing and supporting a technical, complex solution to a variety of customers each with different initiatives and challenges. 

Reporting to the Customer Success Director, the job of the Commercial CSM is responsible for serving a portfolio of small and medium accounts, as well as to work with other CSMs on their own portfolio. This includes building account Success Plan, helping identify and document use cases, and focusing on customer utilization.

The ideal candidate is naturally curious, has excellent verbal and written expression skills, a sharp analytical mind, and has a strong interest in data science. The candidate will be organized, results-driven, and efficient.

What You'll Do:

  • Actively serve a portfolio of assigned accounts
  • Gain an understanding of client’s use cases and desired business outcomes and help licensed users achieve these goals via Dataiku’s Data Science Studio (DSS) & Services.
  • Work closely with the client to understand the users, the goals, the gaps, and the key drivers. 
  • Analyze and identify needs of various personas, and teams, and develop innovative and creative adoption solutions
  • Assess training needs through conversations, interviews, surveys and metrics to determine performance gaps and identify opportunities, priorities, and recommended training.
  • Work with the account team, and the client, to identify gaps and implement solutions to fill those needs
  • Establish appropriate metrics for adoption and report on quantifiable progress over time by constantly taking initiative to gather feedback
  • Work with the client/champion to market and support adoption efforts
  • Once company offices reopen, 20% travel

You might be a good fit for the role if you have/are:

  • At least 2 years’ experience in a customer success, training, consulting or related experience role.
  • English natively and idiomatically 
  • Excellent communication skills--verbal and written
  • Experience in data analysis or data science preferred
  • Experience with coordination, collaboration and organization at an enterprise scale
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Technical Lead, Operations
javascript html css data science testing react-js May 05
YOUR MISSION:  Your mission is to lead the development of our operations portals that allow managing exceptional conditions and provide insights to our operations center. We are on a mission to optimize the roadside assistance service using data science, and minimize call center interactions. This means you will own the feasibility, delivery and service quality of the operations portals and the support. 
You’ve seen this problem before and solved it at past companies, and have solved such problems using micro apps architecture. You are now looking for an opportunity to leverage all  your experiences and expertise to take our product to the next level, working in partnership with Operations Product Manager. 
 
YOUR LEGACY:  Your legacy will include ensuring that every Urgently team across our growing organization is able to use and extend the Operation Portals in days, and are able to  assess the quality and performance of the portals in real time.  The result?  You helped Urgently become the world’s leading mobility assistance company.  
 
WHAT YOU’LL BE RESPONSIBLE FOR:
1) First 2 months:
Understand our platform development environment and philosophy.
Understand how our current Operations Portals work and the mission of it. 
2) First 6 months:
Take over the development of Operation Portals.
Develop the next generation of the Operation Portal architecture, using Micro Apps approach, with in built experimentation testing (A/B/N testing)..
Work with the platform team to integrate services, tracing and monitoring.
5) Ongoing... 
Optimize the code, ensure best coding practices are followed, and support the existing team in their technical hurdles.
Monitor and support the Operation portals in the field. 

Qualifications

  • Must Have Technical Skills:
  • Bachelor’s degree in computer science or a related technology field
  • 7+ years in mobile web-development in similar environments. 
  • In depth and demonstrable knowledge of React JS, Javascript Frameworks
  • Must have experience with abstracting CSS, JS and HTML code to allow designers to make changes without involving front-end engineers. 
  • Must have experience with feature flags and understand how to work with A/B testing frameworks.
  • Experience with creating UI framework that allows for dynamic changing of different components without taking down the app.
  • Must have designed, developed and reviewed multiple architecture for Mobile-Web and Desktop Browser based portals,  along with integration with REST APIs
  • Previous experience collaborating with Product and UX on front-end strategy, framework selection and emerging technologies.
  • Expert architecture and code review
  • Contribute to the development of our internal tools and reusable architecture.
  • Integration experience between React JS and AngularJs.
  • Experience creating optimized code and performance improvement for production system and applications
  • Unit and system testing frameworks like Jest and Cypress
  • Must have Git experience  
  • Playbook: You’ve solved this in past companies and have an existing playbook for how to build the UI platform.
  • Detailed: As a lead engineer, you create detailed documentation of what you and your team is developing.
  • Dedicated: You operate the portals that you and your team develops, and take quality seriously.  
  • Problem Solving: You proactively solve problems before they can become real problems. You have an experimentation mindset. You are constantly upgrading your skill set and applying that to be proactive about the current and emerging security issues and practices.
  • Technical Leadership: You are a technical leader and are always mentoring developers, designing and articulating the design to a team of developers. You value team accomplishments more than individuals. You are a true technical partner with the product manager for Operations.
  • Industry Experience: You have spent 8+ years of software development in similar environments.
  • Quality Ownership: Your work demonstrates how much you care about the quality of what you produce and how it is performing in the real world.

  • NICE TO HAVES
  • Experience with Test Driven Development
  • Experience with logistics software (delivery, transportation, route planning), RSA domain.
If you are interested in learning more about this company or any Startups/Small Businesses in the area, please contact us and check us out here!! 
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

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Data Engineering Team Lead
Density  
python data science big data linux cloud May 03
At Density, we build one of the most advanced people sensing systems in the world. The product and infrastructure is nuanced and one-of-a-kind. Building this product for scale has been an exercise in patience, creativity, remarkable engineering, laser physics, global logistics, and grit. The team is thoughtful, driven, and world-class.   

We build systems that are real-time, accurate, and anonymous by design. Our systems help today’s largest companies understand how their buildings get used. We have counted hundreds of millions of people.  

Counting people in “real-time” is unique and particularly hard to achieve. It allows a user to walk into a room, beneath our sensor, and see the room’s occupancy increment 700ms later.    

Today alone, Density will ingest over 1m events. In the coming year, our sensor network is on track to grow ten-fold. The overall system load is exploding. Maintaining our low latency standards requires an increasingly thoughtful system.   

We’re architecting infrastructure where annual, unscheduled downtime is measured in minutes. We’re building intelligent redundancies so missed events are an oddity. We’re constructing an exceptional engineering team to support always-on, intelligible analytics generated on the fly.   

This role reports to our Director of Data Science & Engineering. This is a hands on technical role with a management track. 

As the Data Engineering Team Lead at Density, you will help build out and lead a team of Data Engineers to provide ETL pipelines and infrastructure for core product Data Science capabilities at a fast paced startup in growth mode.

In this role you will:

  • Define and collaborate on the big data IoT tech stack, using Apache Spark, Kafka, Python, and AWS.
  • Make technology choices and to fill in the gaps for tool-chains and workflows.
  • Work with software developers and data scientists to establish and implement good data engineering practices and processes.
  • Work with hardware engineers to help interface data from cloud to hardware devices.
  • Work with team members to keep projects on track and stakeholders informed.

The ideal candidate will have:

  • 5+ years experience as a data engineerPython.
  • Extensive knowledge of Python programing for data engineering.
  • ETL - Experience implementing and monitoring production data pipelines.
  • SQL - A working knowledge of SQLApache Spark (PySpark).
  • An intermediate ability to write and debug Spark jobs Apache Airflow.
  • Experience configuring and operating Apache Airflow for job executionApache Kafka.
  • Admin and monitoring of high available Kafka installations on AWS.
  • Linux command line - Working knowledge of linux command line and security.
  • AWS cloud experience - EC2, S3, and IAM configuration and automation.
  • Jira - Experience organizing projects in Jira and executing priorities to a team of data engineers.
  • You have an awareness of your weak spots and a genuine desire to improve. 
  • You’re looking for a long-term role with a company that has long-term ambition. 
  • You can balance a demanding workload, discern priorities, and communicate tradeoffs effectively.

Bonus points if you:

  • Experience with Python remote kernels (with Spyder or PyCharm).
  • Knowledge of big data real-time streaming tools like Kafka Stream or Flink.
  • Experience with image processing or complex sensor dataFamiliarity with C++

What we bring:

  • A team hailing from places like Apple, Meraki, Stanford, NASA, and beyond.
  • $100M from investors such as Kleiner-Perkins, Founders Fund, and Upfront Ventures.
  • A work environment full of fun, smart, dedicated, and kind teammates.
  • Our principles - Be Humble, Seek Feedback, and Solve the Fundamental Problem.
We are looking for candidates who are strong in several areas and have exposure to or interest in the others. Most of all, we are looking for candidates who see themselves as a meaningful addition to Density’s team and culture.
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Cloud Architect - Remote
Dataiku  
cloud data science big data linux aws azure May 03
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

Dataiku is looking for an experienced Cloud Architect to join its Field Engineering Team to support the deployment of its Enterprise AI Platform (Dataiku DSS)  to an ever growing customer base. 

As a Cloud Architect, you’ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build and run their Data Science and AI Enterprise Platforms.

This role requires adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses and on-premise Hadoop data lakes, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines,  and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you.

The position can be remote in the UK, Germany, Netherlands, France, Spain, Ireland and Ukraine.

Responsibilities

  • Evangelize the challenges of building Enterprise Data Science Platforms to technical and non-technical audiences
  • Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations
  • Deploy Dataiku DSS in a large variety of technical environments (on prem/cloud, hadoop, kubernetes, spark, …)
  • Design and build reference architectures, howtos, scripts and various helpers  to make the deployment and maintenance of Dataiku DSS smooth and easy
  • Automate operation, installation, and monitoring of the data science ecosystem components in our infrastructure stack
  • Provide advanced support for strategic customers on deployment and scalability issues
  • Coordinate with Revenue and Customer teams to deliver a consistent experience to our customers
  • Train our clients and partners in the art and science of administering a bleeding-edge Elastic AI platform

Requirements

  • Strong Linux system administration experience
  • Grit when faced with technical issues. You don’t rest until you understand why it does not work.
  • Comfort and confidence in client-facing interactions
  • Ability to work both pre and post sale
  • Experience with cloud based services like AWS, Azure and GCP
  • Hands-on experience with the Hadoop and/or Spark ecosystem for setup, administration, troubleshooting and tuning
  • Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
  • Some experience with Python
  • Familiarity with Ansible or other application deployment tools

Bonus point for any of these

  • Experience with authentication and authorization systems like LDAP, Kerberos, AD, and IAM
  • Experience debugging networking issues such as DNS resolutions, proxy settings, and security groups
  • Some knowledge in data science and/or machine learning
  • Some knowledge of Java

Benefits

  • Work on the newest, best, big data technologies for a unicorn startup
  • Consult on AI infrastructure for some of the largest companies in the world
  • Equity
  • Opportunity for international exchange to another Dataiku office
  • Attend and present at big data conferences
  • Startup atmosphere: Free foods and drinks, international atmosphere, general good times and friendly people
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Cloud Architect - Amsterdam
Dataiku  
cloud data science big data linux aws azure May 03
Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science.

Dataiku is looking for an experienced Cloud Architect to join its Field Engineering Team to support the deployment of its Enterprise AI Platform (Dataiku DSS)  to an ever growing customer base. 

As a Cloud Architect, you’ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build and run their Data Science and AI Enterprise Platforms.

This role requires adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses and on-premise Hadoop data lakes, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines,  and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you.

The position is based in Amsterdam and can be considered in remote.

Responsibilities

  • Evangelize the challenges of building Enterprise Data Science Platforms to technical and non-technical audiences
  • Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations
  • Deploy Dataiku DSS in a large variety of technical environments (on prem/cloud, hadoop, kubernetes, spark, …)
  • Design and build reference architectures, howtos, scripts and various helpers  to make the deployment and maintenance of Dataiku DSS smooth and easy
  • Automate operation, installation, and monitoring of the data science ecosystem components in our infrastructure stack
  • Provide advanced support for strategic customers on deployment and scalability issues
  • Coordinate with Revenue and Customer teams to deliver a consistent experience to our customers
  • Train our clients and partners in the art and science of administering a bleeding-edge Elastic AI platform

Requirements

  • Strong Linux system administration experience
  • Grit when faced with technical issues. You don’t rest until you understand why it does not work.
  • Comfort and confidence in client-facing interactions
  • Ability to work both pre and post sale
  • Experience with cloud based services like AWS, Azure and GCP
  • Hands-on experience with the Hadoop and/or Spark ecosystem for setup, administration, troubleshooting and tuning
  • Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
  • Some experience with Python
  • Familiarity with Ansible or other application deployment tools

Bonus point for any of these

  • Experience with authentication and authorization systems like LDAP, Kerberos, AD, and IAM
  • Experience debugging networking issues such as DNS resolutions, proxy settings, and security groups
  • Some knowledge in data science and/or machine learning
  • Some knowledge of Java

Benefits

  • Work on the newest, best, big data technologies for a unicorn startup
  • Consult on AI infrastructure for some of the largest companies in the world
  • Equity
  • Opportunity for international exchange to another Dataiku office
  • Attend and present at big data conferences
  • Startup atmosphere: Free foods and drinks, international atmosphere, general good times and friendly people
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.
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Analytics Engineer
python data science May 03
The Democratic National Committee’s Tech team is hiring an Analytics Engineer to clean, repackage, build pipelines for, and analyze real-time data to help Democrats win elections and to empower progressives across the country.

Who We Are: We are a fully remote, distributed team living in 19 states and from a variety of backgrounds. Some of us have worked in political campaigns, others in public sector tech, and others in industry. We value diversity in perspective, lived experience, and the many paths one may take into working in political technology. We believe deeply in the promise of breaking the boom-bust cycle of political tech work and building technology infrastructure that will support campaigns from cycle to cycle and will improve with every iteration.

Who You Are: We're focused on equipping Democratic candidates and campaigns around the country with the data and analytics resources they need to win, and are looking for Analytics Engineers with a diverse range of backgrounds and skill sets to help us tackle numerous projects. Whether 2020 was your first time volunteering for a campaign or you've been working with electoral data teams for multiple cycles, we'd love to talk to you.

Good candidates are willing to get nerdy about the details while staying focused on our goal of electing Democrats. On a day-to-day basis, our team cares about things like geocoding polling places, tracking Census Bureau data releases, assessing phone number quality, and promoting inclusive labeling practices, to name a few.

Among other things, in this role you could help us:

  • Enhance and expand DNC data products with a focus on making them accessible and intuitive for a wide range of users. Help us continue building upon and improving the data we provide, and build data pipelines to get the right data into the hands of decision makers who are driving Democratic campaigns from the school board to the presidential level. Example: find a better way to group households of voters together, with an eye towards inclusivity and diversity.
  • Find and build datasets that will help campaigns leverage data in new ways. Work with our product and community teams to understand  the end users of Democratic data and provide the support and resources that best meet their needs. Help us think about how we can make data, analytics, and data science products more impactful and accessible to the campaigns that rely on them. Example: build tables that organize all early and absentee voting activity during the election and update minute-by-minute.
  • Find and evaluate new data to improve our offering. Help us identify opportunities to augment our current data store with a focus on helping campaigns efficiently identify and reach target voters, and measure the effects of their programs. Example: find a new way to buy high quality phone numbers for voters and build a pipeline to ingest them.

What makes you right for this role (good candidates might check many of these boxes, but don’t let this list stop you from applying):

  • You are proficient in SQL and comfortable reasoning about very large datasets (you may even have opinions on trailing versus leading commas);
  • You have experience working with political data like state voter files, election results, or voter contact data;
  • You have used SQL to create reusable processes or pipelines (bonus points if you have ETL experience / have worked with tools like Airflow or dbt);
  • You have experience tackling new, messy datasets, and structuring them for quick analysis and insights;
  • You are comfortable with one or more of the following tools: Python, R, data visualization tools (e.g. Tableau, Periscope, Google Data Studio), workflow management tools (e.g. dbt, Airflow, Mistral, Prefect) or political CRMs (e.g. Votebuilder, NGP, BSD);
  • You have strong written and verbal communication skills, and experience explaining technical concepts to both technical and non-technical audiences; and,
  • You can turn independent analysis projects into sustainable, documented workflows, and have experience building systems that can be used across teams and are designed with longevity in mind.
Applications will be considered on a rolling basis. This position is fully remote.

The Democratic National Committee (DNC), is committed to diversity among its staff, and recognizes that its continued success requires the highest commitment to obtaining and retaining a diverse staff that provides the best quality services to supporters and constituents. The DNC is an equal opportunity employer and it is our policy to recruit, hire, train, promote and administer any and all personnel actions without regard to sex, race, age, color, creed, national origin, religion, economic status, sexual orientation, veteran status, gender identity or expression, ethnic identity or disability, or any other legally protected basis. The DNC is committed to providing reasonable accommodations to individuals with disabilities in the hiring process and on the job, as required by applicable law. The DNC will not tolerate any unlawful discrimination and any such conduct is strictly prohibited.
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Senior Software Engineer
senior java data science cloud redis mongodb May 03
YOUR MISSION:  We are an automated dispatch platform and are on the mission to optimize the dispatching using data science. Your mission is to contribute to design and implement algorithms and business logic for the platform services that are the foundation of this platform. This means you will own the feasibility, delivery and service quality of services with your team as well as support integrations with other teams.
 
YOUR LEGACY:  Every Urgently team across our growing organization is able to use platform services in real time using APIs.  They are able to assess quality and performance of the service in real time.  The result?  You helped Urgently become the world’s leading mobility assistance company.  
 
WHAT YOU’LL BE RESPONSIBLE FOR:
1) First 2 months:
Understand our platform development environment and philosophy.
Understand how our current core platform works and it’s overall mission. 
2) First 6 months:
Take over the development of the platform services. 
Extend the service cloud to integrate with partner services.
Work with the data platform team to optimize the service.
5) Ongoing... 
Optimize various services that make up our core platform.  
Own the service operation and technical support 

Qualifications

  • WHO YOU ARE:
  • Detailed: As a senior engineer, you create detailed documentation of what you and your team is developing.
  • Dedicated: You operate the services that you and your team develops, and take quality seriously.  
  • Problem Solving: You proactively solve problems before they can become real problems. You have an experimentation mindset. You are constantly upgrading your skill set and applying that to be proactive about the current and emerging security issues and practices.
  • Technical Leadership: You are a technical leader and are always mentoring junior developers, designing and articulating the design. You value team accomplishments more than individuals.
  • Industry Experience: You’ve been developing software in similar environments for at least 5 years. 
  • Quality Ownership: Your work demonstrates how much you care about the quality of what you produce and how it is performing in the real world.

  • Must Have Technical Skills:
  • Bachelor's degree in computer science or a related technology field 
  • Minimum of 8 years of software development experience 
  • In depth and demonstrable knowledge of Microservices architecture and open source discovery services like Eureka, Zuul
  • Expert knowledge of programming languages (Scala, Java, Python) and related ecosystem
  • In depth knowledge of optimization algorithms
  • In depth knowledge of operationalizing optimization algorithms like regression, multivariate optimization and statistical inference models
  • In depth knowledge of operationalizing classification and predictive models
  • Data structures and fundamental algorithms
  • Hands on MySql and NoSql data systems, search systems and Graph Databases
  • Unit and system testing frameworks
  • Test Driven Development
  • Feature Flags
  • Git

  • NICE TO HAVES
  • Experience with data science tools
  • Experience with search systems like Elastic Search, Apache Solr, Redis, MongoDB, Neo4j
If you are interested in learning more about this company or any Startups/Small Businesses in the area, please contact us and check us out here!! 
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

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