Remote Data Science Jobs
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Technical Support Engineer |
python data science big data docker cloud azure | Jan 26 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. Dataiku is looking for an experienced Technical Support Engineer to join its rapidly growing global Support team. Based out of Asia Pacific, you will be supporting the deployments of its Enterprise AI Platform (Dataiku DSS) to an ever growing and diverse customer base. Normally we hire candidates for our Support team to work a standard Monday to Friday work week. As a Weekend Warrior, you will be working a modified 4 or 5 day work week that always includes Saturday and Sunday to help our customers on a full-time basis.* As a Technical Support Engineer, you will have the opportunity to showcase your skills as a polished communicator and a trusted technical resource along with being able to demonstrate excellent judgment in prioritization and multitasking. Furthermore, we are looking for someone who loves learning new cutting-edge technologies and getting their hands dirty to solve challenging technical problems, and is naturally driven to become an expert in the space. Our ideal candidate is an autonomous individual who is passionate about getting big data and data science technologies working together to solve business problems, and who will efficiently help customers solve their technical issues with Dataiku DSS. If you are interested in staying at the bleeding edge of big data and AI while also having the opportunity to join a rapidly growing startup as we look to take our support operation global, this will be a great fit for you. *Please note that Dataiku will make sure to comply with any and all relevant local labor laws that are applicable with regards to both required time off and compensation. This role can be based in Singapore, Australia, Korea or Japan. In this role, you will help the team
You might be a good fit if you have
Bonus points of any of these
What you can expect to gain in this role
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography 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
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Academic Program Specialist |
data science | Jan 22 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 passionate individual to contribute to the adoption of Dataiku world class software throughout the higher education community. The individual will drive adoption by faculty, promote skill building, and develop strategic partnerships between academic institutions, Dataiku and Dataiku commercial customers. The Academic Program Specialist must be ambitious, outgoing, a self-starter, and must be prepared to learn new skills and work with a diverse set of profiles and experiences in many interesting fields. If you are passionate about education, building relationships across an academic community and learning more about data science, this will be a fantastic opportunity for you. In this role, you'll help the team:
You may be a good fit for this role if you have/are:
Benefits:
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography 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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This Month
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Senior Site Reliability Engineer |
senior java data science machine learning saas linux | Jan 19 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Labelbox is building software infrastructure for industrial data science teams to do data labeling for the training of neural networks. When we build software, we take for granted the existence of collaborative tools to write and debug code. The machine learning workflow has no standard tooling for labeling data, storing it, debugging models and then continually improving model accuracy. Enter Labelbox. Labelbox's vision is to become the default software for data scientists to manage data and train neural networks in the same way that GitHub or text editors are defaults for software engineers. We are backed by some of the finest people in the Silicon Valley who work at Andreessen Horowitz, Gradient Ventures (Google's AI fund), Kleiner Perkins and First Round Capital. What you'll be doing
We're looking for someone with
Bonus
We believe that AI has the power to transform every aspect of our lives -- from healthcare to agriculture. The exponential impact of artificial intelligence will mean mammograms can happen quickly and cheaply irrespective of the limited number of radiologists there are in the world and growers will know the instant that disease hits their farm without even being there. At Labelbox, we’re building a platform to accelerate the development of this future. Rather than requiring companies to create their own expensive and incomplete homegrown tools, we’ve created a training data platform that acts as a central hub for humans to interface with AI. When humans have better ways to input and manage data, machines have better ways to learn.
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Senior Operations Engineer |
senior java data science machine learning linux cloud | Jan 19 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Labelbox is building software infrastructure for industrial data science teams to do data labeling for the training of neural networks. When we build software, we take for granted the existence of collaborative tools to write and debug code. The machine learning workflow has no standard tooling for labeling data, storing it, debugging models and then continually improving model accuracy. Enter Labelbox. Labelbox's vision is to become the default software for data scientists to manage data and train neural networks in the same way that GitHub or text editors are defaults for software engineers. We are backed by some of the finest people in the Silicon Valley who work at Andreessen Horowitz, Gradient Ventures (Google's AI fund), Kleiner Perkins and First Round Capital. What you'll be doing
We're looking for someone with
Bonus
We believe that AI has the power to transform every aspect of our lives -- from healthcare to agriculture. The exponential impact of artificial intelligence will mean mammograms can happen quickly and cheaply irrespective of the limited number of radiologists there are in the world and growers will know the instant that disease hits their farm without even being there. At Labelbox, we’re building a platform to accelerate the development of this future. Rather than requiring companies to create their own expensive and incomplete homegrown tools, we’ve created a training data platform that acts as a central hub for humans to interface with AI. When humans have better ways to input and manage data, machines have better ways to learn.
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People Systems Manager |
manager data science | Jan 18 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 People Systems Manager will be responsible for owning the daily operations related to the HCM systems. This person will manage user permissions, custom reports/searches and user workflow automation requests and be on the front lines for all systems owned by the People Systems team. They will maintain data and business process integrity across all integrated people systems and platforms. What You'll Do
Who You Are
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography 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 Architect |
data science docker backend finance node-js frontend | Jan 16 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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We will set you up with all the necessary tools to perform the job from your home office. Earnest empowers people with the financial capital to live better lives We're an accomplished team of design, math, finance and technology geeks who believe consumer lending can be radically improved and are doing something about it. We created a company that combines data science, streamlined design, and technology to: Build products that simplify the lending process, Provide them to more people, and Engage with our customers through more human experiences. As a Software Architect at Earnest, you will report to the Senior Manager of Platform Engineering, provide technical direction, and build the software that is revolutionizing consumer lending, automating the loan approval process and orchestrating the transfer of billions of dollars. In addition to the $10+ billion in loans serviced, we build tools to maximize Earnest's growth while providing the best possible client experience. Our focus is on building a modern platform that allows us to move faster over time. This means a willingness to rethink domains from first principles and an ability to collaborate well across technical and non-technical teams. At Earnest, we use Node.js and TypeScript on the server-side. On the front-end we use React/Redux for building new things and Angular for everything else. We deploy services in Docker and Kubernetes on AWS. We integrate with other internal microservices (written in Node.js and Scala) and store the bulk of our data in Postgres and Amazon S3. What you'll do:
Ideal background and expertise:
Earnest Perks & Benefits:
Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, disability, genetics, gender identity or expression, or veteran status. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.
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Cloud Architect |
cloud data science aws finance | Jan 16 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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We will set you up with all the necessary tools to perform the job from your home office. Earnest empowers people with the financial capital they need to live better lives. We're an accomplished team of technology, finance, and design geeks who believe consumer lending can be radically improved and are doing something about it. We are disrupting the trillion dollar student loan industry by redefining what it means to be creditworthy. We created a company that combines data science, streamlined design, and technology to: Build products that simplify the lending process Personalize loans to suit the needs of our customers Engage with our customers through more human experiences Our culture is one that values transparency and blameless problem solving. Earnest has a strong track record of employee growth and career progression. Earnies are empathetic, product-focused, proactive, and curious. As the Cloud Architect, you will report to the Head of Infrastructure and:
Ideal background and expertise:
Earnest Perks & Benefits:
Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.
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Curriculum Developer |
data science | Jan 11 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Who We Are: We are currently at the epicenter of the two biggest cultural forces: online education and increased access to diverse talent. As CEOs across the world are turning to software such as Zoom, Slack, Airtable, for remote work and more and are making the commitment to increasing the quality of their pipeline, Flockjay is there to set to make sure that these commitments are lasting. We connect, train support and empower Tech Sales Reps from across the country and partner them with Tech companies big and small looking for sales talent. We have an experienced team from companies like Intercom, Dropbox, and Teach for America, and have raised capital from the best investors in the industry, including Y Combinator, Serena Williams, and Lightspeed Ventures. Flockjay is a Tech Sales Bootcamp with the mission to create a world in which everyone can achieve the promise of upward mobility. Join us and let’s make a meaningful impact together. Who You Are: As Curriculum Developer, you will be accountable for the successful design, implementation and maintenance of Flockjay’s Tech Sales Curriculum. You will also create the systems and processes for tracking student progress and reporting on results. You love the exercise of thinking through how to best teach people and the creativity involved in curriculum design, but you are also organized and process-oriented and have experience taking many inputs and organizing them into one cohesive output. We are looking for someone who can jump in and start building on Day 1, but who can also think through the bigger picture and record and document the curriculum creation and reporting process so that we can achieve excellence at scale. This position requires an analytical and data-driven mindset, an obsession with detail, passion for process development, and operational focus. While you'll need to be able to operate autonomously and with initiative, you'll have the support of our team and report directly to our Head of Learning. This position is also remotely-friendly however we are unable to provide visa sponsorship at this time. What You’ll Do:
What You'll Bring:
Diversity, Inclusion, and Belonging at Flockjay We believe diversity is strength & difference is a teacher. We know we'll do our best and most impactful work when we feel we're represented and we belong. We strive to provide the support required to create a safe, positive environment. We're proud to actively recruit and hire talented people from a wide variety of backgrounds and experiences. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe organizations must build diversity, inclusion, and belonging into their DNA. Those that do so will build better products, provide better services, and be positive forces in the world.
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Sales Operations Associate - Campaign Design |
data science machine learning | Jan 07 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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The Company Springboard is a fast-growing startup, built by a team that is passionate about fixing education and bridging the world’s skills gap. We’ve helped thousands of students learn cutting-edge technical skills like data science, machine learning, coding and UX design, using a unique approach that involves 1-on-1 mentorship from top industry experts. Our approach results in graduates getting jobs in their new chosen field making significantly more money! Sales Operations Sales Operations’ dual mission is to support our frontline sales team to enable growth while ensuring good student outcomes. Accountable for delivering on courses, features, and improvements with its own resources, the Sales Operations team understands requests (and the underlying problems to solve), ideates solutions, and then objectively prioritizes those against a roadmap designed around those parallel goals. The Opportunity Success in our career track programs means we need to scale our Sales org with experienced Sales Operations Associates who would like to join a fun and fast paced company. We’re looking for a tenacious, systems-oriented professional with excellent communication skills, a deep sensitivity to the user, a problem-solving and analytical aptitude, and strong project management competencies. As the Sales Operations Associate - Campaign Design, you’ll report to the Sales Operations Manager and be responsible for defining new ideas and features, analyzing data, and constantly looking for new ways to improve existing processes. Responsibilities
You
The Springboard team of 180 works out of offices in the heart of San Francisco and Bengaluru. We’re backed by top investors, including Costanoa Ventures, Reach Capital, Learn Capital, Pearson Ventures, and the founders of LinkedIn and Princeton Review. Working with us, you’ll enjoy competitive compensation, health insurance coverage (for employees based in California, our base plans are fully covered by Springboard; for employees based outside of California, we offer low-premium coverage), a 401k plan, a generous learning budget, team lunches and snacks, and an opportunity to impact thousands of lives alongside a fun, dedicated and mission-driven team. To learn more about our team and culture, follow us on Instagram @springboardlife! We are an equal opportunity employer and value diversity at our company. We welcome applications from all backgrounds, and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Backend Engineer - LatAm |
backend data science frontend testing finance | Jan 07 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Our mission is to build financial management technologies that enable the world’s most important companies to grow more quickly in a sustainable way that’s good for people, the planet, and business. When companies have strong cash flow performance they can shift from short-term acrobatics to long-term growth and innovation. These are the teams that change the world by being freed to optimize for all of their stakeholders, including their employees, business partners, and environment. The Opportunity Cash flow is the toughest financial statement to understand but it’s fundamental to funding your own growth. We build the most intuitive and actionable tools for companies to optimize cash flow performance. Our platform analyzes billions of dollars of B2B transactions each year, users spend 70% of their workday in Tesorio, and we save finance teams thousands of hours. As a result, they can invest more confidently and anticipate their capital needs further in advance. We’re growing quickly and working with the world’s best companies and the largest bank in the US. We recently raised a $10MM Series A led by Madrona Venture Group and are backed by top investors including First Round Capital, Y Combinator, and Floodgate. We’re also backed by tenured finance execs, including the former CFOs of Oracle and NetSuite. We’re now looking to hire talented Software Engineers in Latin America to join our growing team to help us implement a high volume of curated ideas and reinvent how complex financial transactions can be simplified. The projects you will be working on are critical infrastructure for many companies to maintain their cash flow. And the product is loved with an NPS of 67 and over 60% DAU/MAU. We have a small office in the San Francisco Bay Area, and we have a diverse, distributed workforce in five countries. We don’t believe that people need to sacrifice being close to their families and where they’d prefer to live in order to do their best work. What’s in it for you?
About you
What you’ll do day-to-day
What you can expect:
The ideal candidate
Nice to have
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General Opportunities |
data science | Jan 05 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. Not seeing a job that interests you? Leave your resume and cover letter here! The Talent team will review resumes periodically and reach out to candidates once a position opens that suits their profile. To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography 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 |
python go kubernetes docker elasticsearch golang | Dec 28 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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We are seeking a talented software engineer to join our newly formed engineering team. An ideal candidate will have experience transitioning data science research into production-grade distributed systems. You will be responsible for developing the building blocks of our machine learning pipeline, implementing inference APIs, and building tools to support data science tasks. 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. The position may require occasional on-site work in Northern Virginia for team and client meetings. Responsibilities:
Work Experience and Skills:
Preferred Qualifications:
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This Year
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Senior Data Scientist, Acquisition |
senior data science healthcare | Dec 26 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 7M users across 90k+ companies. Our customers are global and use Loom at work at world-class companies including HubSpot, Square, Uber, GrubHub, and LinkedIn. Founded in 2015, Loom has raised $73 million from top-tier investors including Sequoia Capital, Kleiner Perkins, Coatue, the Slack Fund, and the founders of Instagram, Figma, and Front. The Role: We’re looking to add a Senior Data Scientist 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, designing and evaluating tests, crafting complex database queries and ETL pipelines, and developing sophisticated predictive models. The ideal candidate will be data-driven, intellectually curious, and a clear communicator. Your Responsibilities:
What We're Looking For:
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 * 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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Business Recruiter |
data science machine learning finance | Dec 24 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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About Labelbox Labelbox is building software infrastructure for industrial data science teams to do data labeling for the training of neural networks. When we build software, we take for granted the existence of collaborative tools to write and debug code. The machine learning workflow has no standard tooling for labeling data, storing it, debugging models and then continually improving model accuracy. Enter Labelbox. Labelbox's vision is to become the default software for data scientists to manage data and train neural networks in the same way that GitHub or text editors are defaults for software engineers. Current Labelbox customers include American Family Insurance, Lytx, Airbus, Genius Sports, Keeptruckin and more. Labelbox is venture backed by Andreessen Horowitz, Gradient Ventures (Google’s AI-focused venture fund), Kleiner Perkins, and First Round Capital and has been featured in Tech Crunch, Web Summit and Forbes. We are looking for our first Business Recruiter to help scale hiring for our team! You will be managing the end to end recruiting process from sourcing to closing across operations, finance, sales and marketing, partnering closely across the organization with leadership, hiring managers, recruiting and people ops. About The Role
About You
Bonus
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Technical Recruiter |
data science machine learning | Dec 24 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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About Labelbox Labelbox is building software infrastructure for industrial data science teams to do data labeling for the training of neural networks. When we build software, we take for granted the existence of collaborative tools to write and debug code. The machine learning workflow has no standard tooling for labeling data, storing it, debugging models and then continually improving model accuracy. Enter Labelbox. Labelbox's vision is to become the default software for data scientists to manage data and train neural networks in the same way that GitHub or text editors are defaults for software engineers. Current Labelbox customers include American Family Insurance, Lytx, Airbus, Genius Sports, Keeptruckin and more. Labelbox is venture backed by Andreessen Horowitz, Gradient Ventures (Google’s AI-focused venture fund), Kleiner Perkins, and First Round Capital and has been featured in Tech Crunch, Web Summit and Forbes. We are looking for our first Technical Recruiter to help scale tech hiring for our team! You will be managing the end to end recruiting process from sourcing to closing across engineering, product and design, partnering closely across the organization with leadership, hiring managers, recruiting and people ops. About The Role
About You
Bonus
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Senior Data Scientist, Product |
senior data science healthcare | Dec 23 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 7M users across 90k+ companies. Our customers are global and use Loom at work at world-class companies including HubSpot, Square, Uber, GrubHub, and LinkedIn. Founded in 2015, Loom has raised $73 million from top-tier investors including Sequoia Capital, Kleiner Perkins, Coatue, the Slack Fund, and the founders of Instagram, Figma, and Front. The Role: We’re looking to add a Senior Data Scientist to our growing Data team to help us measure the impact of product features and experiments and derive user behavior insights that inform product development roadmap and strategy 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 designing and evaluating A/B tests, conducting ad-hoc research, creating dashboards, crafting complex database queries and ETL pipelines, and developing sophisticated predictive models. The ideal candidate will be data-driven, intellectually curious, and a clear communicator. Your Responsibilities:
What We're Looking For:
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 * 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 Data Engineer |
senior python data science testing healthcare | Dec 23 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 7M users across 90k+ companies. Our customers are global and use Loom at work at world-class companies including HubSpot, Square, Uber, GrubHub, and LinkedIn. Founded in 2015, Loom has raised $73 million from top-tier investors including Sequoia Capital, Kleiner Perkins, Coatue, the Slack Fund, and the founders of Instagram, Figma, and Front. The Role: We’re looking to add a Senior Data Engineer to our growing Data team to help us build the data foundation that will enable data science and analytics to derive insights and build models that will unlock the next stage of Loom’s growth. You will be collaborating with the data team, engineering team & stakeholders across the company to build the foundation of our data infrastructure. You will take ownership of the transformation layer from raw data to the models that drive all critical analysis and dashboards across the organization. We are looking for a SQL wizard trained in the arts of performant & well-documented query writing, a Python expert, someone who puts data quality first, and someone that can translate business problems into technical models that drive actionable insight. Your Responsibilities:
What We're Looking For:
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 * 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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Sales Engineer - Australia |
python data science machine learning cloud | Dec 23 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. Dataiku is looking for an experienced Sales Engineer based in Australia to support our growth in the ANZ marketplace. We’re looking for someone who can express a passion for the AI domain and communicate this passion to our prospects, customers, and partners. This role consists of supporting Dataiku’s pre-sales efforts along three categories: Building Interest in Dataiku
Building Solutions in Dataiku: Sales Engineers are the primary builders of solutions that match the customer’s or partner’s needs with the capabilities of our technology, which require...
Building Evaluations of Dataiku: The Sales Engineer supports prospective clients and partners that wish to evaluate our technology by...
Dataiku is a young company with great momentum and at this phase of very rapid growth, the Sales Engineer is likely to work cross-functionally with Sales, Marketing, Product Management, and Engineering, as well as be a key player in supporting Dataiku's strategy in ANZ. Responsibilities:
Requirements:
Bonus points:
Benefits:
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography 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 Science Manager, Trello |
data science manager python finance | Dec 22 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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, every Atlassian will have the choice to work from an office or from home. Trello’s data science team needs a dynamic manager to lead the team and harmonize efforts across product, engineering and go-to-market functions. This leader will communicate the team’s priorities across stakeholders, carefully prioritize the team’s work, and coordinate with our data engineering function and other partner teams. The Trello Data Science team is lean, nimble, and remote-friendly. You're a phenomenal fit for this role if you are experienced in developing trusted relationships with product executives, communicate analyses with ease, influence product roadmaps, and are passionate about leading, mentoring, and managing a team in a dynamic environment. In this role, you'll get to
On the first day, we'll expect you to have
It's great, but not required, if you have
More about our team Trello’s data science team is passionate about our millions of users and how they interact with our product every day to get their work done. DS partners tightly with feature teams on initiatives, and works with leadership and related teams, including marketing, finance, leadership, strategy & business operations - to name a few. If you’re interested in delivering value to actual users, this is the team for you! 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. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Remote Senior Front-End Software Engineer |
javascript css html graphql statistics senior | Dec 22 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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The Sensible Code Company makes digital products that automate the processing, privacy protection and publication of data. We make Cantabular.com and PDFTables.com. About this role We’re looking for a senior frontend software engineer to build progressively enhanced user interfaces and interactive visualisations for our product Cantabular which is being used by the Office for National Statistics for the 2021 Census in England and Wales. This is a remote, full-time position. You’ll be joining a friendly, experienced remote team focused on delivering high quality software and helping our customers succeed. You’ll have a high degree of autonomy. We build software using GitHub, Docker, Go, Python, GraphQL, TypeScript and D3. We collaborate using Slack, GSuite and GitHub. Requirements
Also beneficial We don’t expect the successful candidate to have all of these things, but please mention any that apply. If you have other relevant expertise or experience let us know.
Pay and benefits
How to apply Email jobs@sensiblecode.io quoting scjob25 in the subject line with the following information
No agencies please.
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Enterprise Customer Success Manager - Remote, Germany |
manager data science machine learning big data finance | Dec 22 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. Drive Dataiku's growth as part of our Customer Success team. The Dataiku Enterprise Customer Success Manager (ECSM) is responsible for serving a portfolio of large enterprise accounts. This position proactively works with a broad set of stakeholders to illustrate the value delivered through Dataiku’s software & services. The Enterprise Customer Success Manager serves as the internal voice of the customer while working with other Dataiku teams and partners to exceed customer expectations. This individual's performance is based on specific metrics associated with customer product adoption, expansion & retention. This is a remote position based in Germany. In this role, you'll help the team:
You might be a good fit if you have:
Qualifications:
Some expected outcomes from this role:
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography 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 Engineer |
python continuous-integration aws docker backend senior | Dec 19 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Backend Engineering at Tessian At Tessian, we're building machine-intelligent filters to secure enterprise communications. This involves high volume, low latency data processing for some of the world’s largest organisations. Our mission is to keep the world’s most sensitive data private and secure - to do this we're looking for backend engineers to help build out our platform supporting our next stage of growth. The backend systems power the whole company and our teams have touch points with all of our engineering teams. From deploying data science models in production to integrating with our front end, you'll be involved in projects that span all aspects of the business. Our teams are made up of people from diverse backgrounds; some have been building Python systems for years and some have learnt the ins and outs of Python on the job. Read more about Engineering at Tessian:
As a Tessian Backend Engineer you will
Our backend tech stack includes
We'd love to meet someone who
Why we think you'll love it here.... It’s important to us that all Tessians are part of the journey we’re on, so we offer equity options with every role and benchmark to provide above market rate salaries - there’s plenty more too…. Be at your best, both inside and outside of work
Beyond work
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Lifecycle Marketing Ops Manager |
ops manager html css data science testing | Dec 18 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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About Imperfect Imperfect Foods was founded in 2015 with a mission to reduce food waste and build a better food system for everyone. We offer imperfect (yet delicious) produce, affordable pantry items, and quality meat and dairy. We deliver them conveniently to our customers’ doorsteps and pride ourselves on offering up to a 30% discount compared to grocery store prices. Our customers can get the healthy, seasonal produce they want alongside the grocery staples they rely on, without having to compromise their budget or values. We’re proving that doing the right thing for the planet doesn’t have to cost more, and that shopping for quality ingredients can support the people and resources that it takes to grow our favorite foods. We're headquartered in San Francisco with operations all over the country. Check our website to see if there is an Imperfect near you! We're looking for folks who are positive, motivated, and ready to change the world. If that sounds like you, drop us a line! About the Role The Lifecycle Marketing Ops Manager plays an integral, cross-functional role within the Growth & Product organization. You will be responsible for the platforms and data flows that support Lifecycle Marketing strategy and execution which drive growth and retention. You will help craft, optimize and integrate new components to our lifecycle marketing tech stack that will enable sophisticated and personalized omni-channel user journeys. This position will report to the Director of Lifecycle Marketing. Responsibilities:
Skills and Qualifications:
Bonus Points:
About You:
Position is targeted for an April hire. Inquire for additional details. How we are protecting employees from COVID-19 At Imperfect Foods, employee health and safety is our top priority. We have implemented processes and precautions to prevent the spread of COVID-19 in our facilities. We provide gloves, masks, and hand sanitizer to all essential employees who must report to work. Before entering our warehouse, employees have their temperatures checked. In addition, we take great care to ensure frequently touched surfaces are sanitized throughout the day and all warehouses are fully sanitized weekly. We have also implemented an Emergency Sick Leave policy providing full-time and part-time employees 2 additional weeks of paid time off and up to 26 weeks paid leave if they have a confirmed case of COVID-19. Individuals seeking employment at Imperfect Foods are considered without regard to race, color, religion, national origin, age, gender, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation. U.S. E-Verify Notice: Imperfect Foods participates in E-Verify in the United States. Imperfect will provide the U.S. Social Security Administration (SSA) and, if necessary, the U.S. Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. How we are protecting employees from COVID-19 At Imperfect Foods, employee health and safety is our top priority. We have implemented processes and precautions to prevent the spread of COVID-19 in our facilities. We provide gloves, masks, and hand sanitizer to all essential employees who must report to work. Before entering our warehouse, employees have their temperatures checked. In addition, we take great care to ensure frequently touched surfaces are sanitized throughout the day and all warehouses are fully sanitized weekly. We have also implemented an Emergency Sick Leave policy providing full-time and part-time employees 2 additional weeks of paid time off and up to 26 weeks paid leave if they have a confirmed case of COVID-19.
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People Systems and Rewards Analyst |
data science | Dec 17 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 People Systems & Rewards Analyst will be responsible for assisting the People Systems and Rewards team with daily operations and relating to administration and analysis of people systems, compensation, benefits, equity and reporting. This person will have a matrix reporting structure working closely with the People Systems manager on the front lines for all systems owned by the People Systems team and also with the Head of People Systems and Rewards on any total rewards and people analytics tasks. What you'll do
Who you are
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography 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 Engineer |
python continuous-integration aws docker backend senior | Dec 12 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Backend Engineering at Tessian At Tessian, we're building machine-intelligent filters to secure enterprise communications. This involves high volume, low latency data processing for some of the world’s largest organisations. Our mission is to keep the world’s most sensitive data private and secure - to do this we're looking for backend engineers to help build out our platform supporting our next stage of growth. The backend systems power the whole company and our teams have touch points with all of our engineering teams. From deploying data science models in production to integrating with our front end, you'll be involved in projects that span all aspects of the business. Our teams are made up of people from diverse backgrounds; some have been building Python systems for years and some have learnt the ins and outs of Python on the job. Read more about Engineering at Tessian:
As a Tessian Backend Engineer you will
Our backend tech stack includes
We'd love to meet someone who
Why we think you'll love it here.... It’s important to us that all Tessians are part of the journey we’re on, so we offer equity options with every role and benchmark to provide above market rate salaries - there’s plenty more too…. Be at your best, both inside and outside of work
Beyond work
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Partner Solutions Architect |
python data science machine learning big data | Dec 02 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. Dataiku is looking for a Partner Solution Architect (PSA) to join our Partnerships team covering North America. Since the launch of our company in 2013, we have experienced healthy growth and strong market demand. This is a new position due to business expansion with responsibility for managing all technical aspects of our partner relationships and working with partners to develop new solutions based on Dataiku Data Science Studio (DSS). We’re looking for someone who can express passion about new technologies and the business benefits of AI and who can tie the value of DSS to our partners’ capabilities and GTM offerings. The PSA will engage with ecosystem partners - system integrators, consultants, value-added resellers, and complementary technology partners - at the executive and field levels to develop solution offerings that deliver value for our joint customers. What You'll Do:
You will also be responsible for:
You may be a good fit for the role if you have:
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography 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 Product Manager, Engagement |
senior manager product manager data science | Dec 01 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Here at Medium, we are building the best place for reading and writing on the internet—a place where today’s smartest writers, thinkers, experts, and storytellers can share big, interesting ideas; a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers. While relationships on Medium generally start between a reader and a writer, all users join a global network where they discover others with shared interests. On Medium, ideas are proposed and continuously refined by our community through tools for feedback, discussion and curation. As a Product Manager on the Engagement team, you’ll work to deeply understand and support the myriad communities that rely on our platform for connection and rich discourse. You’ll work to dramatically increase the number and quality of connections made on Medium by developing features which allow users to express themselves and build bonds with other readers and creators. What You'll Do:
Who Are You?
At Medium, we foster an inclusive, supportive, fun yet challenging team environment. We understand the value of diverse backgrounds and respect the healthy expression of diverse opinions. We embrace experimentation and the examination of all kinds of ideas through reasoning and testing. Come join us as we continue to change the world of digital media. Medium is an equal opportunity employer.Interested? We'd love to hear from you. Please note that communication regarding your application, interviews, and job offers will only come from e-mail addresses ending in "@medium.com". Anything else is not a legitimate outreach.
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AI Evangelist - Germany |
data science machine learning | Dec 01 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. 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 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
Core skills and talents:
Qualifications:
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography 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 Engineer |
senior data science cloud aws healthcare | Nov 30 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 throw the long ball with people we love for a cause we believe in. Life is short. Join us. A bit about this role: In our mission to take care of every member like they were our own mom or dad, we believe that data is a super power to deliver great service and clinical care. You will be the data engineer who crafts our data and makes it readily available for our complex downstream data systems to consume. As a member of the data engineering team, you will work closely with many teams within the company to determine how best to prepare our data in a scalable, flexible way for complex analysis to take place. Whether you have a health care background or not, we are excited to learn from and share knowledge with you. Our leadership team includes seasoned alumni of healthcare and technology organizations spanning the public and private sector. Our co-founders deeply understand and care about good technology: Todd Park co-founded Athenahealth, a multi-billion-dollar health care technology company, and served as CTO of the U.S.; Ed Park was athenahealth's founding engineer and served as its CTO, COO, and President of Services. We want a data engineer who has a passion for data and problem solving. We are looking for folks who want to work in a complex system and who are passionate about building great technology to solve problems for users—our members, our colleagues, and ourselves. Responsibilities will include:
Attributes to success:
Required skills and experience:
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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Email Marketing Contractor |
data science | Nov 30 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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The Company Springboard is a fast-growing edtech startup, built by a team that is passionate about fixing education and bridging the skills gap. We’ve helped thousands of students learn skills in cutting-edge fields like data science, UI and UX design, and software engineering, using a unique approach that involves 1-on-1 mentorship from top industry experts. The Opportunity We’ve delivered strong user and revenue gains over the past few years. Now, we’re looking to expand to new verticals, and accelerate growth through our university partnerships. If you are evangelical about email marketing as a strategic tool in the marketing arsenal, and want to apply your skills and ambition at a hyper-growth, mission-driven company, then we’d love to talk to you. Reporting to the Email Marketing Manager, you will support the execution and optimization of email campaigns to prospective students. You will support the Email Marketing Manager and Sales/Admissions Team to:
You have:
Bonus points if you have:
The Springboard team of 180 works out of offices in the heart of San Francisco and Bengaluru. We’re backed by top investors, including Costanoa Ventures, Reach Capital, Learn Capital, Pearson Ventures, and the founders of LinkedIn and Princeton Review. Working with us, you’ll enjoy competitive compensation, health insurance coverage (for employees based in California, our base plans are fully covered by Springboard; for employees based outside of California, we offer low-premium coverage), a 401k plan, a generous learning budget, team lunches and snacks, and an opportunity to impact thousands of lives alongside a fun, dedicated and mission-driven team. To learn more about our team and culture, follow us on Instagram @springboardlife! We are an equal opportunity employer and value diversity at our company. We welcome applications from all backgrounds, and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Business Intelligence Engineer |
python data science machine learning big data healthcare | Nov 25 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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About Labelbox Labelbox’s mission is to build the best products for humans to advance artificial intelligence. We are building software infrastructure for industrial data science teams to do data labeling for the training of neural networks. When we build software, we take for granted the existence of collaborative tools to write and debug code. The machine learning workflow has no standard tooling for labeling data, storing it, debugging models and then continually improving model accuracy. Enter Labelbox. Our vision is to become the default software for data scientists to manage data and train neural networks in the same way that GitHub or text editors are defaults for software engineers. Current Labelbox customers include American Family Insurance, Lytx, Airbus, Genius Sports, Keeptruckin and more. Labelbox is venture backed by A16Z, Gradient Ventures, Kleiner Perkins and First Round Capital and has been featured in Tech Crunch, Venture Beat, Fortune, and Forbes. About the Team The BI team at Labelbox is working on becoming a large part of the decision making for the company. We believe that our data will set us apart and help us succeed as a data driven company. Members of the BI team are working on understanding and making sense of data while partnering with product and business teams on helping drive direction with data. We like to partner with each other and with stakeholders across the company to get our work done, and we like to constantly think about how we can improve. We also like to come up with new ideas based on data. About the Role As a member of this team, you will be responsible for creating clean, scalable and easy to consume data models and data pipelines. You will build ETLs that will allow the rest of the company answer questions they need in a self-service manner, and allow analysts and data scientists to quickly analyze and prototype new ideas. You will partner with the rest of the team on prototyping those new ideas and build scalable product. The Impact You’ll Have By building scalable self-service solutions you will enable easier and faster decision making. In addition, you will be able to increase productivity and accuracy of our BI team, and operations and product teams as well The Problems You’ll Solve
About You
We believe that AI has the power to transform every aspect of our lives -- from healthcare to agriculture. The exponential impact of artificial intelligence will mean mammograms can happen quickly and cheaply irrespective of the limited number of radiologists there are in the world and growers will know the instant that disease hits their farm without even being there. At Labelbox, we’re building a platform to accelerate the development of this future. Rather than requiring companies to create their own expensive and incomplete homegrown tools, we’ve created a training data platform that acts as a central hub for humans to interface with AI. When humans have better ways to input and manage data, machines have better ways to learn.
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Recruiting Coordinator |
data science machine learning healthcare | Nov 23 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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About Labelbox Labelbox’s mission is to build the best products for humans to advance artificial intelligence. We are building software infrastructure for industrial data science teams to do data labeling for the training of neural networks. When we build software, we take for granted the existence of collaborative tools to write and debug code. The machine learning workflow has no standard tooling for labeling data, storing it, debugging models and then continually improving model accuracy. Enter Labelbox. Our vision is to become the default software for data scientists to manage data and train neural networks in the same way that GitHub or text editors are defaults for software engineers. Current Labelbox customers include American Family Insurance, Lytx, Airbus, Genius Sports, Keeptruckin and more. Labelbox is venture backed by A16Z, Gradient Ventures, Kleiner Perkins and First Round Capital and has been featured in Tech Crunch, Venture Beat, Fortune, and Forbes. About the Role As our first Recruiting Coordinator, you will be our expert - crafting and driving the end-to-end candidate experience, partnering across the organization with leadership, hiring managers, recruiters and people ops. As Labelbox ambassador, you have the opportunity to make an immediate impact, enhance the candidate experience and contribute to the overall team happiness. The ideal candidate is an organizational maverick with a passion for excellence in communication and an elevated approach to building professional relationships. Responsibilities
About You
Bonus
We believe that AI has the power to transform every aspect of our lives -- from healthcare to agriculture. The exponential impact of artificial intelligence will mean mammograms can happen quickly and cheaply irrespective of the limited number of radiologists there are in the world and growers will know the instant that disease hits their farm without even being there. At Labelbox, we’re building a platform to accelerate the development of this future. Rather than requiring companies to create their own expensive and incomplete homegrown tools, we’ve created a training data platform that acts as a central hub for humans to interface with AI. When humans have better ways to input and manage data, machines have better ways to learn.
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Senior Software Engineer, Perception |
senior cs data science machine learning computer vision docker | Nov 23 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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About Labelbox Labelbox is building software infrastructure for industrial data science teams to do data labeling for the training of neural networks. When we build software, we take for granted the existence of collaborative tools to write and debug code. The machine learning workflow has no standard tooling for labeling data, storing it, debugging models and then continually improving model accuracy. Enter Labelbox. Labelbox's vision is to become the default software for data scientists to manage data and train neural networks in the same way that GitHub or text editors are defaults for software engineers. Current Labelbox customers include American Family Insurance, Lytx, Airbus, Genius Sports, Keeptruckin and more. Labelbox is venture backed by Andreessen Horowitz, Gradient Ventures (Google’s AI-focused venture fund), Kleiner Perkins, and First Round Capital and has been featured in Tech Crunch, Web Summit and Forbes. We are looking for a Senior Fullstack Engineer, with a Frontend focus to join the Perception Team. The team’s mission is to build the most efficient tool for machine learning and computer vision teams to turn assets into high quality training data. Our customers use what we create to make breakthroughs in their fields and industries, and advance artificial intelligence. We will do this by building a tool that the customer can depend on and enjoy using with problem-focused craftsmanship, rooted in our customers. Our team specializes in processing all kinds of multimedia assets and developing innovative, reliable, and desirable annotation editors - all through a performant, efficient, and beautifully designed browser interface served to a globally-scaled workforce. As a team, we develop all over the stack and system, but our most critical expertise lies in our experience and proficiency with modern browser and graphics technologies. Who You Are
You have experience and interest in at least one of our areas of focus:
What We Value
What You Will Accomplish
We believe that AI has the power to transform every aspect of our lives -- from healthcare to agriculture. The exponential impact of artificial intelligence will mean mammograms can happen quickly and cheaply irrespective of the limited number of radiologists there are in the world and growers will know the instant that disease hits their farm without even being there. At Labelbox, we’re building a platform to accelerate the development of this future. Rather than requiring companies to create their own expensive and incomplete homegrown tools, we’ve created a training data platform that acts as a central hub for humans to interface with AI. When humans have better ways to input and manage data, machines have better ways to learn.
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Enterprise Account Executive - Latin America |
executive data science big data | Nov 23 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. Dataiku is looking for an experienced Account Executive to join our team and cover the Latin America region. 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 LatAm 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:
Benefits:
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography 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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Principal Data Scientist, Attribution |
python data science | Nov 20 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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, every Atlassian will have the choice to work from an office or from home. Our team is looking for principal data scientist to own the roadmap for attribution at Atlassian. As part of the Core Analytics team, you'll help develop tools and data products that drive the business forward through the creative application of sophisticated statistical and analytical techniques. You'll partner across the business with marketing, sales, and product teams to build a holistic view of our business. Your responsibilities will include building attribution models for specific metrics as well as building out standard methodologies for attribution at Atlassian. We are looking for a difference maker, with a great blend of strategy and execution. You will be a mentor, multiplier, doer, and awesome communicator rolled into one. Atlassian is growing fast, your job is to give us the tools to understand and accelerate this growth. On the first day, we'll expect you to have
It's great, but not required, if you have
More about our team The Core Analytics team at Atlassian is tasked to scale analytics across our business. We seek to provide the right metrics, reports, data models, and forecasts that enable Atlassian to grow intelligently. We partner with Marketing Analytics, Product Analytics, and Data Science to provide a holistic view of users across our entire funnel. 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. All your information will be kept confidential according to EEO guidelines. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Senior Salesforce Developer |
senior java data science machine learning cloud healthcare | Nov 16 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Concert Health is a rapidly growing behavioral healthcare services organization. The team includes experienced entrepreneurs, nationally recognized clinical pioneers and top flight health-tech investors including Healthy Ventures, Town Hall Ventures, Vertical Venture Partners, and Edward Bergmark. We provide behavioral health services to primary care organizations using an evidence-based model, Collaborative Care. We employ a growing team of talented, mission-driven clinicians, empowered by a modern technology platform. Collaborative Care has been shown to be effective, and is supported by Medicare, most commercial health plans, and Medicaid in many states. You can learn more about the model here. We're looking for a talented Senior Salesforce Developer who will partner with our Product Team to expand our Salesforce Service Cloud Care Management Platform - empowering our clinical team to provide excellent care at scale. Our vision is a unified technology experience for clinicians and patients that brings together electronic medical record (EMR) data, our care management platform, patient engagement tools, and healthcare data analytics. Your ability to create elegant solutions to complex business problems - using Salesforce.com configuration and development tools and leveraging APIs for third-party integrations - will be integral to achieving that vision. Your responsibilities:
Your Skills & Experience:
Bonus Points for:
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REMOTE Germany-wide |
python kubernetes apache-kafka continuous-integration continuous-deployment data science | Nov 12 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Your tasks – this is what awaits you in detail
Your profile – this is what we expect from you
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Senior Product Manager - Remote |
senior manager product manager data science big data finance | Nov 11 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. Dataiku is looking for a Senior Product Manager to support the development of our new product Governance Hub (GH). GH is an application that monitors and manages data initiatives across the various departments of a company. It ensures that good practices and governance rules are enforced. It is fully customizable to fit policies and processes of the company. The position is available in our Paris office or remotely. The role of the Senior Product Manager involves a mixture of technical skills and communication skills. The Senior Product Manager drives the life of the entire product, from prioritisation of the roadmap, structuring of its key components to features development. Dataiku is a young company with great momentum and at this early stage, the Senior Product Manager is likely to work cross-functionally with Sales, Product Management, Data Science, Engineering, and Marketing. We’re looking for someone who can express passion about the new technologies and possibilities of Big Data and Advanced Analytics. What you'll do:
You might be a good fit if:
Bonus point if you have:
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography 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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EMEA Partner Solution Architect |
data science machine learning cloud | Nov 11 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. Dataiku is looking for an experienced data science specialist to join the Sales Engineering team as a Partner Solution Architect (PSA), supporting our growth in the EMEA region. We’re looking for someone who can express passion about new technologies and the business benefits of AI and who can tie the value of DSS to our partners’ capabilities and Go-to-market offerings. The PSA will engage with ecosystem partners - system integrators, advisory companies and value-added resellers- at the executive and field levels to develop solution offerings that deliver value for our joint customers. The PSA will be the bridge between the Partnership and the Sales Engineers team to ensure alignment. Responsibilities:
Dataiku is a fast-growing company with great momentum and the PSA will need to work cross-functionally with Sales, Services, Marketing, and other departments to drive sustainable company growth. Requirements:
Benefits:
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography 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 Engineer - LatAm |
backend senior data science frontend testing finance | Nov 10 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Our mission is to build financial management technologies that enable the world’s most important companies to grow more quickly in a sustainable way that’s good for people, the planet, and business. When companies have strong cash flow performance they can shift from short-term acrobatics to long-term growth and innovation. These are the teams that change the world by being freed to optimize for all of their stakeholders, including their employees, business partners, and environment. The Opportunity Cash flow is the toughest financial statement to understand but it’s fundamental to funding your own growth. We build the most intuitive and actionable tools for companies to optimize cash flow performance. Our platform analyzes billions of dollars of B2B transactions each year, users spend 70% of their workday in Tesorio, and we save finance teams thousands of hours. As a result, they can invest more confidently and anticipate their capital needs further in advance. We’re growing quickly and working with the world’s best companies and the largest bank in the US. We recently raised a $10MM Series A led by Madrona Venture Group and are backed by top investors including First Round Capital, Y Combinator, and Floodgate. We’re also backed by tenured finance execs, including the former CFOs of Oracle and NetSuite. We’re now looking to hire talented Software Engineers in Latin America to join our growing team to help us implement a high volume of curated ideas and reinvent how complex financial transactions can be simplified. The projects you will be working on are critical infrastructure for many companies to maintain their cash flow. And the product is loved with an NPS of 67 and over 60% DAU/MAU. We have a small office in the San Francisco Bay Area, and we have a diverse, distributed workforce in five countries. We don’t believe that people need to sacrifice being close to their families and where they’d prefer to live in order to do their best work. What’s in it for you?
About you
What you’ll do day-to-day
What you can expect:
The ideal candidate
Nice to have
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Senior Data Scientist |
senior python data science machine learning nlp big data | Nov 10 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Medium’s mission is to help people deepen their understanding of the world and discover ideas that matter. We are building a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers. We are creating the best place for reading and writing on the internet—a place where today’s smartest writers, thinkers, experts, and storytellers can share big, interesting ideas. We are looking for a Senior Data Scientist who will help us build a new future for the written word on the web, as part of a team that translates data into actionable insights. Broadly, Data Scientists at Medium focus on analysis — interpreting data, sharing insights, and developing models that improve the product. We work together to analyze patterns at a macro level, answering questions the rest of the company hasn’t thought to ask yet. You’ll spend most of your time working on a product team: a group of engineers, designers, a product manager, and you, the Data Scientist, all working together in a small group to build new features. You’ll extract key data and findings, define metrics, evaluate A|B tests, identify opportunities based on the data, and share new insights that no one considered before. You’ll bring data to bear on a set of thorny questions at the intersection of tech and media, helping us grow our ecosystem of readers and writers and build a new economic model for written content. On the day to day, you will
You should have
Nice to have
At Medium, we foster an inclusive, supportive, fun yet challenging team environment. We value having a team that is made up of a diverse set of backgrounds and respect the healthy expression of diverse opinions. We embrace experimentation and the examination of all kinds of ideas through reasoning and testing. Come join us as we continue to change the world of digital media. Medium is an equal opportunity employer. Interested? We'd love to hear from you. Please note that communication regarding your application, interviews, and job offers will only come from e-mail addresses ending in"@medium.com". Anything else is not a legitimate outreach.
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Director of Sales Engineering, Southeast |
executive python data science machine learning big data | Nov 10 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. Dataiku is hiring a Director of Sales Engineering to oversee our Southeast team of Sales Engineers. The Sales Engineering function at Dataiku is the primary technical function within the Sales organization, providing pre-sales support to the Account Executives and directly contributing to Dataiku’s revenue objectives. As the “trusted advisors” in the sales process, the Sales Engineers help to build interest in Dataiku, build the solution to the prospect’s needs, and then build the evaluation to provide the prospect with the proof that they need to make their purchasing decision. The Director role is key in growing Dataiku’s business in the US and will support objectives related to our ability to deliver compelling, highly technical customer engagements in the field. Key responsibilities in the coming months will be the enablement of the existing team of , hiring and retaining top talent, and ensuring excellence in our execution. What You'll Do:
What You Have:
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography 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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Business Development Manager - Cloud Alliances, APAC |
cloud manager c data science aws ops | Nov 09 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 seasoned, collaborative “go getter” to develop and scale our cloud Alliance business in APAC. Our ideal candidate has a background growing major accounts and new product business, closing enterprise cloud deals and collaborating with complex partner ecosystems some key “traits” we are looking for: - Customer driven with a passion helping customers solve problems - Always learning, able to adapt and go - Disciplined, focused, and results driven, comfortable operating with ambiguity, change and at fast pace. - Established relationships with sales teams and leaders at Microsoft/AWS/GCP - Established relationships with partners and technical leads large consulting organizations (PwC, Deloitte, etc) - Ability and comfort level working with, presenting to and negotiating with C level and executive management What You'll Do
Who You Are
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography 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 Manager, Internal Tools |
manager data science finance | Nov 09 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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As our Product Manager, Internal Tools at Babylist, you will enable and build mission-critical tools for finance, customer service, operations, merchandising and other internal teams at Babylist. You will be the liaison between our internal teams and our external system partners and support a broad swath of critical business processes. You’ll develop and maintain a product roadmap for our internal systems focused on making the teams across Babylist more effective at achieving their objectives. You are highly organized, technically nimble, and obsessed with the customer experience and automation. Our approach to product management is deeply rooted in understanding the customer and placing emphasis on the user experience. You are a person who is passionate about improving lives through the products you build; through Babylist, you will have the opportunity to impact one of the most important and transformative moments in a person’s life. Being located in the Bay Area is ideal, though this role is remote-friendly if you're based in CA, AZ, CO, FL, MN, NV, NY, NJ, SC, TX, WV, and WI What You'll Do
Who You Are
What You've Done
About Babylist At Babylist, we help expecting parents get exactly what they need for the arrival of their new baby. We have a large and rapidly growing user base of passionate parents-to-be who are making important purchasing decisions for one of the biggest events in their lives, which is both exciting and overwhelming. Our core product is our universal baby registry. Currently one in two first-time expecting families in the United States actually create a baby registry at Babylist.com. In 2019, over $400 million worth of gifts were purchased off of Babylist registries. Why You Will Love Working at Babylist: • We get stuff done • We have a real impact on people’s lives • We're passionate about our users and we genuinely appreciate them • We work at a sustainable pace for long-term success (yes, we’re profitable) • We are growing and have meaningful opportunities for career advancement • We’re a technological and data-driven business • We believe in autonomy and reward taking initiative • We have experienced leadership that is always open to new ideas Benefits: • Competitive pay • Competitive health benefits including company-funded medical, dental, and vision • 401(k), FSA plans, and disability insurance • Flexible, paid parental leave policy • Flexibility to work from home and prioritize home life as we navigate the impacts of COVID-19 • Easy access to BART and commuter assistance (when we return to the office) • We work at a sustainable pace; in general we don't work late or on weekends, and most employees WFH on Wednesdays If your experience is close to what we’re looking for, please consider applying. Experience comes in many forms – skills are transferable, and passion goes a long way. We know that diversity makes for the best problem-solving and creative thinking, which is why we’re dedicated to adding new perspectives to the team and encourage everyone to apply.
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Senior Backend Engineer - TypeScript / NodeJS |
node-js typescript postgresql backend senior data science | Nov 08 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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YOUR MISSION By the nature of Chance service, we develop a triple-sided marketplace infrastructure to drive the interactions of our Talents (customers), Coaches and internal Customer Success.
OUR STACK
WHY CHANCE ? Did you know that about 37% of people say that they have a “bullshit job” and about 60% of people on average feel disengaged from their work? Did you know that, despite all the advances in technology for online job search in the last 25 years, today the average time a person is unemployed is still about the same as in 1995 when the internet was just getting started? Why has technology not helped with this problem which is especially severe today?
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AWS Senior Software Engineer |
azure dot net aws react-native angular senior | Nov 01 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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ABOUT US We are Ascent. We’re on a mission to help our customers connect data, software and purpose to create extraordinary outcomes. You could say we are a digital transformation business. But we’d rather say we help people solve problems, or do new things, or do existing things better. We specialise in software product development, analytics and data science, IoT solutions, machine learning, DevOps optimisation and modernisation of applications, data and platforms. And in case you were wondering, our customers are awesome. From smart home devices, space exploration and beer to manufacturing, finance, ecology and logistics - we work with some of the sharpest minds in the brightest businesses. Ascent is UK based with specialist hubs in Malta and Bulgaria and smaller local teams in 14 countries worldwide. We’re a 250+ strong team that’s growing – fast – in a vibrant market and we are continuously looking for new talent and perspectives. And right now we’re looking for experienced Senior .NET Developers (Azure / AWS) to help our customers define and deliver success. ABOUT THE ROLE As a member of the Development Team delivering a range of cutting edge solutions, you will play an active role in activities related to the design, development, and maintenance of our products. Responsibilities:
Required skills and qualifications: • Strong understanding and past experience of different database paradigms (SQL and NoSQL) and their application. • Strong knowledge of cloud-based solutions (Microsoft Azure or AWS) • Strong knowledge of microservices concepts like event based messaging, domain driven design, containerization and related technologies • Strong analytical and logical thinking abilities • Strong problem solving and diagnostic skills • Excellent communication skills • Must be able to work within a team and focus on a common sprint goal while delivering high product and code quality. • Experience in source control and collaboration tools like GIT and Azure DevOps • Experience in working in an Agile team
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Data Platform Architect - Core Architecture Team |
python javascript data science machine learning big data cloud | Oct 29 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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, every Atlassian will have the choice to work from an office or from home. Atlassian's Core Architecture team is excited to be looking looking for a Data Platform Architect to join their team. This person will need to drive and define an overarching strategic vision for Atlassian’s modern data platform data architecture including data pipelines, data processing, big data warehouses, data lakes and future data meshes to maximize the optimization of enterprise data assets. What You'll be Doing:
Key performance metrics will cover working with delivery teams to demonstrate:
Requirements:
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. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.
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Director of Applied Research / Data Science |
data science executive python cs machine learning nlp | Oct 28 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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. Our data science team is digesting terabytes of data, making sense of it, and delivering key insights that drive both business and product decisions. The team works on every aspect of the business so you’ll touch everything we do and have an impact on all aspects of Scribd. Reporting to the Head of Data Science, you will assume leadership of a team that currently includes two Data Scientists. We anticipate that this team will grow to as many as seven over the next year or so. Initially, the role will include individual contributor work, but that should diminish as the team expands. At present one Data Scientist focuses on machine learning and the other on payments and fraud. However, we are open to your suggestions for organizing the team and work moving forward. The team is involved in a lot of activities, including product science, A/B test design, exploratory analyses, modeling and more. You'll oversee the team, providing technical support, managing performance, training/coaching, assigning work, monitoring progress, and more. The team is expected to: * Provide decision support to the whole company by doing analysis, building predictive models, creating reports - doing whatever it takes - to support data needs across the organization. * Becoming domain experts in all aspects of the Scribd business, product, and data model; use this expertise to provide advice to all teams in the usage of our data. * Solve ambiguous problems. * Collaborate with stakeholders to determine the highest-impact opportunities. You have:
Ideally you have:
At Scribd, we value people above everything else. We're building a diverse workplace and an inclusive culture to give more people the chance to change the way the world reads. Scribd is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We encourage people of all backgrounds to apply because we believe that a diverse set of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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Senior Manager Data Engineering |
senior manager data science saas big data backend | Oct 23 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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, every Atlassian will have the choice to work from an office or from home. Job description Atlassian is looking for a hands-on Senior Data Engineering Leader to join our Data team and build data solutions and applications that power critical business decisions throughout the organization and inform the product strategy. We are looking for a forward-thinking, structured problem solver, technical specialist, and highly talented leader passionate about building systems at scale. You will lead a world-class engineering practice, develop data solutions that the business teams can use with a high level of confidence and trust to drive their day-to-day decisions and product strategy. As the data domain specialist, you will be partnering with a cross-functional team consisting of Information Technology, data platform, product engineering, analytics teams, and data scientists across various initiatives. Requirements may be vague, but the iterations will be rapid, and you need to take smart and calculated risks. You are interested in reporting platforms and data visualization. More about you You are passionate about technology, data and understand the power of the data to influence the future of companies like Atlassian. You thrive on developing phenomenal people and data products with your experience as a leader using modern data architecture and engineering practices and tools to process, store, and expose consumer-scale datasets and build robust back-end services. You are well-versed in data-driven and data-informed product development, and you are comfortable with the nuts and bolts of software engineering, data engineering, and basic data science. You are an experienced manager with a strong record of attracting and growing great engineers through hiring, coaching, mentoring, and hands-on career development. You foster an inclusive environment where all points of view are welcomed and encouraged. On your first day, we'll expect you to have:
It's great but not required if you have:
More about our team Atlassian is over a decade old, but our team is much younger. We'll have to blaze new trails to enable important growth decisions, so we're continually growing, learning, and trying to do things differently. You'll be joining a team that is crazy smart, and very direct. We ask hard questions and challenge each other to improve our work continuously. We are self-driven but team-oriented. We're all about enabling growth by delivering the right data and insights in the right way to partners across the company. 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. Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Business Development Representative |
data science big data | Oct 23 2020 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 Specialist to lead Dataiku business development activities. Located in Singapore, your role will be to identify and qualify new sales opportunities to grow Dataiku sales for APAC. 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
Who You Are
To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography 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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