You will:

What We're Looking For:

Responsibilities:

Requirements:

What You'll Do

What You've Done

At Underline, we are driven by a singular mission: to ensure the vibrancy of our nation through building intelligent community infrastructure. We work with communities across the United States to design, finance, and construct open access fiber-optic networks. We believe these networks are the essential foundation for ultra-fast access to information, a competitive market for content and services, job formation and reskilling for workers, distributed healthcare services, new wireless solutions, and resilient modern infrastructure including responsible energy creation.  

We’re looking for a full-time Senior DevOps Engineer to join our Engineering team. Our Engineering team responds to the needs of the business, delivering well-designed and strategically aligned technology solutions in network architecture and design, customer acquisition, network service provider connectivity, automated operations, and support systems.

As Senior DevOps Engineer, you’ll work closely with our business and engineering teams to design and maintain our AWS, Software-Defined Networking, and configuration management environments. You will be exposed to all production services and infrastructure and will have a high degree of both responsibility and impact. You will get to work closely with leadership, product, engineering, our vendors, and our customers in order to create a best in class integrated system. Finally, you will provide some IT support for our small but growing team!

Join us as we help support the vitality and resilience of communities. 

What You'll Do

• Advise in strategic technology decisions for internal systems and community fiber optic networks
• Design, build, and maintain SD-WAN automation for configuration and operation of community networks
• Deploy and manage network monitoring systems
• Assist in the design and build of private cloud infrastructure
• Manage our VPN systems for internal and external connectivity, and manage user credentials
• Maintain our AWS environment and apps using Terraform and Ansible
• Maintain our Kubernetes environment in AWS EKS
• Assist in the design of core network infrastructure supporting our community networks
• Manage our PKI tools and certificates
• Ensure security and compliance for community networks, perimeter, and internal services 
• Support end-users with workstation maintenance and compliance
• Procure new machines and install, inspect, and maintain software as needed
• Troubleshoot and resolve issues on our network as needed
• Provide IT support on an ad hoc basis for our regional offices

About You

• You are hungry, humble, and curious
• You have excellent analytical, quantitative, and problem-solving skills
• You want to solve extremely hard problems in the realms of data science, data engineering, and artificial intelligence 
• You are an intrinsic self-starter and enjoy taking on new challenges
• You want to be part of the early stages of a company where everything you build matters
• You want a highly collaborative environment, comprised of diverse subject matter experts in broadband networking, data center infrastructure, software development, and design
• You care about building critical intelligent infrastructure to increase community vitality and improve resilience 

About Us 

• We offer bold solutions to drive positive, sustainable change 
• We approach our work with humility, integrity, and intellectual rigor
• We are agile and relentless in pursuit of our mission 
• We have a mentality of service: to our mission, and to each other
• We are dedicated to building and sustaining a culture of flourishing
•  We optimize our efforts to create positive-sum for community and capital

Requirements

• B.S. or M.S. in Computer Science or related field, or equivalent experience
• 5+ years of domain experience in the field of DevOps or IT
• 3+ years of experience in Network Engineering
• Strong foundation in DevOps and Infrastructure-as-Code principles
• Familiarity with Linux administration and tuning, and Linux networking
• Experience setting up, running, and monitoring public-facing web servers
• Experience configuration and maintaining VPNs
• Experience with Docker container technology and Kubernetes container orchestration
• Experience with one or more of Ansible, Chef, or Puppet
• Proficiency in shell scripting such as Bash and at least one dynamic programming language such as Python, Ruby, or Perl
• Familiarity with SDN and SD-WAN automation and orchestration
• Working knowledge of source control systems, preferably Git
• Familiarity with IT compliance areas such as change management, incident response, and configuration management
• Vendor management experience, including initial and annual diligence and contract negotiation
• Familiarity with access control, centralized systems management, inventory management or directory management such as LDAP/ActiveDirectory and SSO
• Familiarity with network and connectivity troubleshooting from both a user endpoint perspective as well as server and networking infrastructure perspective

As a Solutions Architect You Will Be:

Desired Experience:

What You Will Achieve:

Benefits & Perks

Responsibilities:

Skills and Qualifications:

About You:

Details of the Position:

Physical Requirements:

RESPONSIBILITIES

BASIC QUALIFICATIONS

PREFERRED QUALIFICATIONS

SKILLS AND ABILITIES

PREFERRED LOCATIONS

User Research International is a research company based out of Redmond, Washington. Working with some of the biggest companies in the industry, we aim to improve your experience via paid research studies. Whether it be the latest video game or productivity tools, we value your feedback and experience. We are currently conducting a research study called the Data Professional Study. We are looking for currently employed Full-Time Data Professionals who use tools such as SQL, R and Python. This study is a one-time Remote Study via an online meeting. We’re offering $200 for participation in this study. Session lengths are 90 mins. These studies provide a platform for our researchers to receive feedback for an existing or upcoming products or software. We have included the survey link for the study below. Taking the survey will help determine if you fit the profile requirements. Completing this survey does not guarantee you will be selected to participate.  If it's a match, we'll reach out with a formal confirmation and any additional details you may need.

I have summarized the study details below. In order to be considered, you must take the survey below. Thank you!

Study: Data Professional Study

Gratuity: $200

Session Length: 

Location: Remote

Dates: Available dates are located within the survey

Survey: Data Professional Study

At CrowdStrike we’re on a mission - to stop breaches. Our groundbreaking technology, services delivery, and intelligence gathering together with our innovations in machine learning and behavioral-based detection, allow our customers to not only defend themselves, but do so in a future-proof manner. We’ve earned numerous honors and top rankings for our technology, organization and people – clearly confirming our industry leadership and our special culture driving it. We also offer flexible work arrangements to help our people manage their personal and professional lives in a way that works for them. So if you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to stop breaches and protect people globally, let’s talk.

About the Role

We are looking to hire a Big Data Engineer for the Data Engineering team at CrowdStrike. The Data Engineering team operates within the Data Science organization, and provides the necessary infrastructure and automation for users to analyze and act on vast quantities of data effortlessly. The team has one of the most critical roles to play in ensuring our products are best-in-class in the industry. You will interact with product managers and other engineers in building both internal and external facing services.

This position is open to candidates in Bucharest (Office or Romania Remote), Brasov, Cluj, Iasi and Timisoara (Remote)

You will:

• Write jobs using PySpark to process billions of events per day
• Fine tune existing Hadoop / Spark clusters
• Rewrite some existing PIG jobs in PySpark

Key Qualifications

You have:

• BS degree in Computer Science or related field
• 7+ years of relevant work experience
• Experience in building data pipelines at scale (Note: We process over 1 Trillion events per week)
• Good knowledge of Hadoop / Spark /Apache Kafka, Python, AWS, PySpark and other tools in the Big Data ecosystem
• Good programming skills – Python
• Operation experience in the tuning of clusters for optimal data processing
• Experience in building out ETL jobs at scale
• Good knowledge of distributed system design and associated tradeoffs
• Good knowledge of CI / CD and associated best practices
• Familiarity with Docker-based development and orchestration

Bonus points awarded if you have:

• Created automated / scalable infrastructure and pipelines for teams in the past
• Contributed to the open source community (GitHub, Stack Overflow, blogging)
• Prior experience with Spinnaker, Relational DBs, or KV Stores
• Prior experience in the cybersecurity or intelligence fields

Benefits of Working at CrowdStrike:

• Market leader in compensation
• Comprehensive health benefits
• Working with the latest technologies
• Training budget (certifications, conferences)
• Flexible work hours and remote friendly environment
• Wellness programs
• Stocked fridges, coffee, soda, and lots of treats
• Peer recognition
• Inclusive culture focused on people, customers and innovation
• Regular team activities, including happy hours, community service events

We are committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives and ways of solving problems so we strive to attract and retain talent from all backgrounds and create workplaces where everyone feels empowered to bring their full, authentic selves to work.

CrowdStrike is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

At CrowdStrike we’re on a mission - to stop breaches. Our groundbreaking technology, services delivery, and intelligence gathering together with our innovations in machine learning and behavioral-based detection, allow our customers to not only defend themselves, but do so in a future-proof manner. We’ve earned numerous honors and top rankings for our technology, organization and people – clearly confirming our industry leadership and our special culture driving it. We also offer flexible work arrangements to help our people manage their personal and professional lives in a way that works for them. So if you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to stop breaches and protect people globally, let’s talk.

About the Role

We are looking to hire a Sr. Data Engineer for the Data Engineering team at CrowdStrike. The Data Engineering team operates within the Data Science organization, and provides the necessary infrastructure and automation for users to analyze and act on vast quantities of data effortlessly. The team has one of the most critical roles to play in ensuring our products are best-in-class in the industry. You will interact with product managers and other engineers in building both internal and external facing services.

This role is open to candidates in Bucharest, (Office or Remote) Cluj, Brasov and Isai (Remote).

What You’ll Need

• BS degree in Computer Science or related field.
• 7+ years of relevant work experience.
• Good knowledge of some (or all) of AWS, Python, Golang , Kafka , Spark, Airflow, ECS, Kubernetes, etc to build infrastructure that can ingest and analyze billions of events per day.
• Good knowledge of distributed system design and associated tradeoffs.
• Good knowledge of CI / CD and associated best practices.
• Familiarity with Docker-based development and orchestration.

Bonus points if you have…

• Created automated / scalable infrastructure and pipelines for teams in the past.
• Contributed to the open source community (GitHub, Stack Overflow, blogging).
• Prior experience with Spinnaker, Relational DBs, or KV Stores.
• Prior experience in the cybersecurity or intelligence fields.

Benefits of Working at CrowdStrike:

• Market leader in compensation
• Comprehensive health benefits + 401k plan (US only)
• Flexible work hours and remote friendly environment
• Wellness programs
• Stocked fridges, coffee, soda, and snacks
• Peer recognition
• Inclusive culture focused on people, customers and innovation
• Regular team activities, including happy hours, community service events

We are committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives and ways of solving problems so we strive to attract and retain talent from all backgrounds and create workplaces where everyone feels empowered to bring their full, authentic selves to work.

CrowdStrike is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

In this role, you'll get to

On the first day, we'll expect you to have

RStudio creates great software that helps people understand data and make better decisions in real world applications. Our core is an open source data science toolchain and we aim to make it available to everyone, regardless of their economic means.

We are seeking our next Site Reliability Engineer. As a member of our team you will have the opportunity to work on a variety of different projects including our cloud marketplace offerings, hosted applications, and internal infrastructure, which will greatly impact our end-users and employees. You will be given a large amount of autonomy to determine the right tool for the right job. This is a cross functional role and you will partner closely with the engineering, support and solutions teams.

What you may work on

• You will design operational processes and solutions to proactively address issues before they become customer facing
• Identify persistent or recurring problems and recommend creative solutions
• Build tools and solutions for bridging software development teams with system infrastructure

About you

• 4+ years experience with a high-level scripting language such as Python or Ruby
• 3+ years advanced-level experience with Linux
• 2+ years experience with Amazon Web Services
• You have experience designing and implementing elastic solutions while ensuring no single point of failure
• Familiarity with system scalability, monitoring, and performance with the ability to troubleshoot systems, network, and storage
• Proficiency with automation tools, such as Chef or Puppet, in a production environment
• Solid understanding of the challenges with creating, scaling, and managing distributed applications and service
• Educate, train, and coach the engineering and solutions engineering teams in best practices
• Effectively use tools and techniques to maximize impact on scaling services and systems
• Ability to work independently on a number of projects with employees across teams
• Experience with Kubernetes, ceph, Azure, Windows administration a plus

About us

• We welcome all talented engineers and are committed to a culture that represents diversity in all its forms.
• We prioritize giving engineers “focus time” to get deep work done. We minimize meetings and attempt to operate asynchronously.
• We are a learning organization and take mentorship and career growth seriously. We hope to learn from you and we anticipate that you will also deepen your skills, influence, and leadership as a result of working at RStudio.
• We operate under a unique sustainable business model: 50% of engineering we do at RStudio is open source. We are profitable and we plan to be around twenty years from now.

Notable

• 100% distributed team (or come in to one of our offices in Seattle or Boston) with minimal travel
• Competitive compensation with great benefits including:
• medical/dental/vision insurance (100% of premiums covered)
• 401k matching
• a home office allowance or reimbursement for a coworking space
• a profit-sharing system
• Flexible environment with a generous vacation policy

RStudio is committed to being a diverse and inclusive workplace. We encourage applicants of different backgrounds, cultures, genders, experiences, abilities, and perspectives to apply. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.

You will:

You could be a good fit if you have:

About Triplebyte

Triplebyte is transforming the way software engineers are hired. Our mission is to build an open, valuable and skills-based credential for all engineers. This is important because millions of people have skills (and deserve good jobs), but don’t fit the profile that recruiters seek. Another way of saying this is that talent is uniformly distributed, but opportunity is not. Our goal is to broaden the distribution of opportunity.

To do this, we have built a background-blind technical assessment and interview process, and we use it to find engineers and help them get jobs at 450+ top companies. Our rich understanding of candidates’ skills and propriety machine learning models enable us to find the right match between our candidates and partner companies. This is why companies like Apple, Dropbox and American Express trust Triplebyte’s technical assessment to identify the best engineers for their open roles and reduce the time and effort it takes to hire them.

We just raised a $35 million Series B and our team of 65 is growing quickly! Now is a great time to join as we're on an exciting growth trajectory. You will have lots of opportunities for taking on responsibility and developing new skills quickly.

We're an experienced team, the founders have each built and sold companies before. Ammon and Guillaume founded Socialcam (acquired by Autodesk for $60 million) and Harj was the first partner hired at Y Combinator since its founding.

We are rapidly growing our engineering team, we are looking for generalist, full-stack, frontend, backend, machine learning, and dev-ops engineers!

Building the best product

The Triplebyte engineering team is still rather small, only 8 people. We all went through the Triplebyte process :) We move fast, release new features daily and iterate quickly. Triplebyte is growing very quickly and the engineering team is fully dedicated to supporting that growth, in any way we can. We are a generalist engineering team, we work on anything that helps the company or other teams grow. We cycle through backend, full-stack and frontend work based on the most critical needs. All of us are encouraged to work on all those parts.

Our frontend is mostly in React/Redux. Our backend is in Ruby on Rails, Postgres and Redis. (We also use python with Tensorflow for all our data science work)

It doesn't seem like it, but we have built a LOT of software. We are a truly full-stack company and we are building a process that needs to be perfect ends to ends. We have software for engineers, for interviewers, for writers, for companies, for us, etc.. If that's any indication of scale, we crossed recently the 200 tables in our Postgres database :)

Join us and help us build the best product! We value initiative, productivity, and ownership.

Compensation and Benefits

• Competitive salary and stock options package
• Open vacation policy
• Employer paid health, vision and dental insurance
• 401(k) plan with matching
• Pre-tax commuter benefits
• Daily catered lunches

Our Mission

We believe strongly in building a truly meritocratic, unbiased process for finding great talent. Even the best technology companies today still use where people went to college as a proxy for intelligence and ability. We're building a process that looks only at ability, not credentials, so we can have a future where everyone can focus on just learning and being good at what they do, not how they look on paper.

Every aspect of running a company has been improved over the last decade, except hiring. Most decisions are still made using amorphous terms like "gut feel" or "culture fit". They should be made using crisp data. Only a company specializing on this problem, using data collected from the hiring process at hundreds of companies, can solve it. That's the company we're building. Our mission is creating a scientific method for identifying great talent and intelligently routing it to the best place. Starting with software engineers.

The Company is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. The Company does not discriminate against employees or applicants (in any aspect of employment, including, but not limited to recruiting and hiring, job assignment, compensation, opportunities for advancement, promotion, transfers, evaluation, benefits, training, discipline, and termination), on the basis of any characteristic protected under applicable federal, state, or local laws.

Millions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store.

To help us continue to grow, we are looking for an experienced data scientist dedicated to coding and building production-ready services.

With over 9 million active users, komoot possesses a unique dataset of user-generated content, ranging from GPS data from tours, uploaded photos, and tips, to implicit and explicit user feedback. Using this data as well as various open data sources, you will drive product enhancements forward that will directly impact the user experience. We believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot’s success.

Your key responsibilities

• Work closely with our web and mobile developers, designers, copywriters and product managers
• Discuss product improvements, technical possibilities and road maps
• Investigate and evaluate data science approaches for product enhancements
• Write code that is well structured, well tested and documented
• Enhance existing components and APIs as well as write new services from scratch
• Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers)

Why you will love it

• You will be challenged in a wide range of data science tasks
• You deal with a diverse set of data (user-generated content, analytics data and external data sources)
• You go beyond prototyping and ship your code to production
• You contribute to a product with a vision to inspire more people to go outdoors
• You’ll work in a fast-paced startup with strongly motivated and talented co-workers
• You’ll enjoy the freedom to organize yourself the way you want
• We let you work from wherever you want, be it a beach, the mountains, your house or anywhere else that lies in any time zone situated between UTC-1 and UTC+3
• You’ll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides

You will be successful in this position if you

• Have a passion for finding pragmatic and smart solutions to complex problems
• Have 3+ years of industry experience in data science
• Have 2+ years of experience in professional programming, preferable in Python or Java
• Experience in technologies like pandas, numpy, Jupyter Notebooks, seaborn, scikit-learn, PyTorch and TensorFlow
• Know your toolkit: git, ssh, bash and docker.
• Experience in AWS, infrastructure as code and monitoring is a plus
• Have strong communication and team skills
• Have a hands-on attitude and are highly self-driven

Sounds like you?

Send us the following:

• Your CV in English
• A write-up explaining who you are and why you are interested in working at komoot
• Examples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)
• Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, a blog or something else

As part of this role, you will

Experience

Skills

You are

Availability

Responsibilities:

Requirements

Preferred Locations:

Responsibilities:

Requirements:

A strong candidate will also:

RESPONSIBILITES

You are the ideal recruit if:

Hiring process:

Responsibilities

Requirements

Nice to haves...

Benefits

Responsibilities:

Requirements:

Bonus Points:

Benefits:

Principle Roles & Responsibilities

• Design and build robust, scalable and secure backend services and APIs
• Work on state-of-the art data science applications for the biotech industry, using modern software development techniques
• Implement new functionalities, in close cooperation with our data scientists, frontend developers and UX/UI experts
• Design and discuss implementation options and considerations together with the rest of the development team
• Work closely with technical product owner, Scrum team and other stakeholders to ensure constant team alignment and continuous improvement
• Draft and communicate architectural decisions together with the team and evaluate new technologies or products
• Drive innovation and exchange knowledge with other developers and DevOps experts to optimize software development and delivery processes

Background & Qualifications

• At least 3 years of hands-on experience with any kind of backend development (Python, Django, Docker)
• A good understanding of client/server communication methodologies (REST, WebSocket), and database communication and architecture (PostgreSQL, Django ORM)
• Experience with libraries used for data science applications, like numpy, scipy, sklearn or similar
• Practical experience with software development basics like source code management systems and issue tracking
• You’re enthusiastic about code quality, simplicity, security and performance
• You are proficient in professional English to engage in deep technical discussions with international colleagues
• And most important: You are eager to learn new things

Our homes are our most valuable asset and also the most difficult to buy and sell. Knock is on a mission to make trading in your house as simple and certain as trading in your car. Started by founding team members of Trulia.com (NYSE: TRLA, acquired by Zillow for $3.5B), Knock is an online home trade-in platform that uses data science to price homes accurately, technology to sell them quickly and a dedicated team of professionals to guide you every step of the way. We share the same top-tier investors as iconic brands like Netflix, Tivo, Match, HomeAway and Houzz.

We are seeking a passionate Backend Software Engineer to help us design and build our customer-facing APIs and backend services. You must be a developer with a keen sense of good system design and application architecture. We are looking for someone who is passionate about creating great products and making the world amazing for homebuyers.

At Knock, we have fun, we move fast, we support and celebrate our fellow teammates, and we live by our POPSICLE values.

As a NodeJS Software Engineer on the backend team you will: 

• Design, build and maintain APIs and tools that power Knock’s internal and customer-facing applications. Communicate your designs to fellow engineers.
• Understand the data that power our applications, and be able to propose appropriate data models for new features.
• Build new services from scratch, as well as maintain existing applications.
• Provide secure and seamless integration of Knock’s applications to our SaaS partners.
• Committed to good engineering practice of testing, logging, alerting and deployment processes.

We’re looking for Knockstars who have: 

• Must be U.S. based.
• BS in Computer Science or equivalent experience.
• 3+ years of full lifecycle software development experience in Node.js, including coding, testing, troubleshooting, and deployment.
• Strong desire to work at a rapidly growing startup and make it a success. Comfortable learning new technologies and tools.
• Expert in Javascript (Node.js). Experience with various Node.js modules such as fastify, hapi.js, lodash, async.
• Experience with AWS ecosystem such as Lambda, S3, SNS, SQS, and CloudWatch.
• Strong SQL knowledge (Mysql or Postgres), familiarity with techniques to identify slow queries and debugging.
• A strong customer-first mindset and data-driven approach to their work
• Proven success working remotely in prior positions & are experienced working with a distributed, national team 

Bonus points for knowledge of:

• Docker ecosystem and container orchestration systems such as Amazon ECS or Kubernetes.

What We Can Offer You:

• An amazing opportunity to be an integral part of building the next multi-billion dollar consumer brand around the single largest purchase of our lives.
• Talented, passionate and mission-driven peers disrupting the status quo.
• Competitive cash, full medical, dental, vision benefits, 401k, flexible work schedule, unlimited vacation (2 weeks mandatory) and sick time.
• Flexibility to live and work anywhere within the United States. As we are a distributed company and engineering team, we are open to any U.S. location for this role.
• This is a 100% remote, full-time career at Knock.

We have offices in New York, San Francisco, Atlanta, Charlotte, Raleigh, Dallas-Fort Worth, Phoenix, and Denver with more on the way. In fact, we are proud to be a distributed company with employees in 21 different states. This is an amazing opportunity to be an integral part of building a multi-billion dollar consumer brand in an industry that is long overdue for a new way of doing things. You will be working with a passionate, mission-driven team that is disrupting the status quo.

Knock is an Equal Opportunity Employer.

Please no recruitment firm or agency inquiries, you will not receive a reply from us.

Project Management Curriculum Writer

• Education
• Remote

• Contract

Who We Are Thinkful is a new type of school that brings high-growth tech careers to ambitious people everywhere. We provide 1-on-1 learning through our network of industry experts, hiring partners, and online platform to deliver a structured and flexible education. Thinkful offers programs in web development, data science, and design, with in-person communities in up-and-coming tech hubs around the U.S. To join the Thinkful network visit thinkful.com.

Job Description Thinkful is launching a new Technical Project Management program which aims to be the best in-class remote, part-time Technical Project Management program offered today. As part of this effort, we're looking for a Technical Project Management subject matter expert to join us in executing on our content roadmap for this exciting new program. You will be creating the backbone of a new program that propels people from a background in academia and the sciences into an impactful career as Technical Project Manager. You'll produce written content, lesson plans including instructor notes and student activity descriptions, presentation decks, assessments, learning objectives and written content, all to support our students as they learn the core skills of data science. Your work product will be extremely impactful, as it forms the core asset around which the daily experience of our students will revolve. 

Responsibilities

• Consistently deliver content that meets spec and is on time to support our program launch roadmap.
• Create daily lesson plans consisting of 
• Presentation decks that instructors use to lecture students on a given learning objective.
• Instructor notes that instructors use alongside 
• Activity descriptions — these are notes describing tasks students complete together in order to advance the learning objective in a given lecture.
• Creates curriculum checkpoint content on specific learning objectives. In addition to the in-class experience, our students also spend time reading and completing tasks for a written curriculum hosted on the Thinkful platform. 
• Creates code assets where necessary to support lesson plans, student activities, and written curriculum content.
• Iterates on deliverables based on user feedback

Requirements

• 3+ years of hands-on Technical Project Management industry experience 
• Demonstrated subject matter expert in Technical Project Management 
• Managing projects using Agile, Kanban and six Sigma methodologies
• Work on multiple projects, all complexity levels, in an environment with changing priorities
• Change management expertise 
• Web application development experience 
• Running large scale big data projects and or AWS cloud based projects
• Collaborative.You enjoy partnering with people and have excellent project management skills and follow through
• Excellent writing skills. You've got a gift for writing about complicated concepts in a beginner-friendly way. You can produce high-quality prose as well as high-quality presentations.

Compensation and Benefit

• Contract position with a collaborative team
• Ability to work remotely with flexible hours 
• Access to all available course curriculum for personal use
• Membership to a global community of over 500 Software Engineers, Developers, and Data Scientists who, like you, want to keep their skills sharp and help learners break into the industry

We are looking for data scientists with policy research experience to perform data processing and analysis tasks, such as monitoring data quality, applying statistical and data science methods, and creating data visualizations. In this role you will work on multi-disciplinary teams supporting program evaluation and data analytics to inform policy and decision makers.

Responsibilities

• Answering research questions or building solutions that involve linking health or healthcare data to other administrative data.
• Designing, planning, and implementing the data science workflow on tasks and projects, involving descriptive statistics, machine learning or statistical analysis, data visualizations, and diagnostics using programming languages such as R or Python
• Communicating results to collaborative project teams using data visualizations and presentations via tools such as notebooks (e.g. Jupyter) or interactive BI dashboards
• Developing and maintaining documentation using Atlassian Confluence and Jira
• Implementing quality assurance practices such as version control and testing

Requirements 

• Master’s degree in Statistics, Data Science, Math, Computer Science, Social Science, or related field of study
• Eight (8) years of experience 
• Demonstrable enthusiasm for applying data science and statistics to social impact projects in academic, extra-curricular, and/or professional settings
• Demonstrable skills in R or Python to manipulate data, conduct analyses, and create data visualizations
• Ability to version code using GitExperience with healthcare claims and administrative data
• Ability and desire to work independently as part of remote, interdisciplinary teams
• Strong oral and written communication skills

Responsibilities

Requirements

Bonus points for any of these

Benefits

Description

We are looking for a Python-focused software engineer to build and enhance our existing APIs and integrations with the Scientific Python ecosystem. TileDB’s Python API (https://github.com/TileDB-Inc/TileDB-Py) wraps the TileDB core C API, and integrates closely with NumPy to provide zero-copy data access. You will build and enhance the Python API through interfacing with the core library; build new integrations with data science, scientific, and machine learning libraries; and engage with the community and customers to create value through the use of TileDB.

Location

Our headquarters are in Cambridge, MA, USA and we have a subsidiary in Athens, Greece. However, you will have the flexibility to work remotely as long as your residence is in the USA or Greece. US candidates must be US citizens, whereas Greek candidates must be Greek or EU citizens.

Expectations

In your first 30 days, you will familiarize yourself with TileDB, the TileDB-Py API and the TileDB-Dask integration. After 30 days, you will be fully integrated in our team. You’ll be an active contributor and maintainer of the TileDB-Py project, and ready to start designing and implementing new features, as well as engaging with the Python and Data Science community.

Requirements

• 5+ years of experience as a software engineer
• Expertise in Python and experience with NumPy
• Experience interfacing with the CPython API, and Cython or pybind11
• Experience with Python packaging, including binary distribution
• Experience with C, C++, Rust, or a similar systems-level language
• Distributed computation with Dask, Spark, or similar distributed computation system
• Experience with a machine learning library (e.g. scikit-learn, TensorFlow, Keras, PyTorch, Theano)
• Experience with Amazon Web Services or a similar cloud platform
• Experience with dataframe-focused systems (e.g. Arrow, Pandas, data.frame, Vaex)
• Experience with technical data formats such as (e.g. Parquet, HDF5, VCF, DICOM, GeoTIFF)
• Experience with other technical computing systems (e.g. R, MATLAB, Julia)

Benefits

• Competitive salary and stock options
• 100% medical and dental insurance coverage (for you and your dependents!)
• Paid parental leave
• Paid time off (vacation, sick & public holidays)
• Flexible time off & flexible hours
• Flexibility to work remotely (anywhere in the US or Greece)

TileDB, Inc. is proud to be an Equal Opportunity Employer building a diverse and inclusive team.

What’s in it for you?

Responsibilities

Required Skills

Nice to Haves

Responsibilities

Requirements

The Wikimedia Foundation is seeking an experienced executive to serve as Vice President of Data Science & Engineering for our Technology department. At the Wikimedia Foundation, we operate the world’s largest collaborative project: a top ten website, reaching a billion people globally every month, while incorporating the values of privacy, transparency and community that are so important to our users. 

Reporting to the Chief Technology Officer, the VP of Data Science & Engineering is a key member of the Foundation’s leadership team and an active participant in the strategic decision making framing the work of the technology department, the Wikimedia Foundation and the Wikimedia movement.

This role is responsible for planning and executing an integrated multi-year data science and engineering strategy spanning our work in artificial intelligence, machine learning, search, natural language processing and analytics. This strategy will interlock with and support the larger organization and movement strategy in service of our vision of enabling every human being to share freely in the sum of human knowledge.

Working closely with other Technology and Product teams, as well as our community of contributors and readers, you’ll lead a team of dedicated directors, engineering managers, software engineers, data engineers, and data scientists who are shaping the next generation of data usage, analysis and access across all Wikimedia projects.

Some examples of our teams work in the realm of data science and data engineering can be found on our blog, including deeper info on our work in improving edit workflows with machine learning, our use of Kafka and Hadoop or our analysis of analysis of people falling into the “Wikipedia rabbit hole”. As of late we have been thinking on how to best identify traffic anomalies that might indicate outages or, possibly, censorship.  

You are responsible for:

• Leading the technical and engineering efforts of a global team of engineers, data scientists and managers focused on our efforts in productionizing artificial intelligence, data science, analytics, machine learning and natural language processing models as well as data operations. These efforts currently encompass three teams: Search Platform, Analytics and Scoring Platform (Machine Learning Engineering)
• Working closely with our Research, Architecture, Security, Site Reliability and Platform teams to define our next generation of data architecture, search, machine learning and analytics infrastructure
• Creating scalable engineering management processes and prioritization rubrics
• Developing the strategy, plan, vision, and the cross-functional teams to create a holistic data strategy for Wikimedia Foundation taking into account our fundamental values of transparency, privacy, and collaboration and in collaboration with internal and external stakeholders and community members.
• Ensure data is available, reliable, consistent, accessible, secure, and available in a timely manner for external and internal stakeholders and in accordance with our privacy policy.
• Negotiating shared goals, roadmaps and dependencies with finance, product, legal and communication departments
• Contributing to our culture by managing, coaching and developing our engineering and data teams
• Illustrating your success in making your mark on the world by collaboratively measuring and adapting our data strategy within the technology department and the broader Foundation
• Managing up to 5 direct reports with a total team size of 20

Skills and Experience:

• Deep experience in leading data science, machine learning, search or data engineering teams that is able to separate the hype in the artificial intelligence space from the reality of delivering production ready data systems
• 5+ years senior engineering leadership experience
• Demonstrated ability to balance competing interests in a complex technical and social environment
• Proven success at all stages of the engineering process and product lifecycle, leading to significant, measurable impact.
• Previous hands-on experience in production big data and machine learning environments at scale
• Experience building and supporting diverse, international and distributed teams
• Outstanding oral and written English language communications

Qualities that are important to us:

• You take a solutions-focused approach to challenging data and technical problems
• A passion for people development, team culture and the management of ideas
• You have a desire to show the world how data can be done while honoring the user’s right to privacy

Additionally, we’d love it if you have:

• Experience with modern machine learning, search and natural language processing platforms
• A track record of open source participation
• Fluency or familiarity with languages in addition to English
• Spent time having lived or worked outside your country of origin
• Experience as a member of a volunteer community

The Wikimedia Foundation is... 

...the nonprofit organization that hosts and operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge, free of interference. We host the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive financial support from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

The Wikimedia Foundation is an equal opportunity employer, and we encourage people with a diverse range of backgrounds to apply.

U.S. Benefits & Perks*

• Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!)
• The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more
• The 401(k) retirement plan offers matched contributions at 4% of annual salary
• Flexible and generous time off - vacation, sick and volunteer days, plus 19 paid holidays - including the last week of the year.
• Family friendly! 100% paid new parent leave for seven weeks plus an additional five weeks for pregnancy, flexible options to phase back in after leave, fully equipped lactation room.
• For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program
• Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses
• Telecommuting and flexible work schedules available
• Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax
• Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people

*Eligible non-US benefits are specific to location and dependent on employer of record

What is Pathrise?

Pathrise (YC W18) is an online program for tech professionals that provides 1-on-1 mentorship, training and advice to help you land your next job. On top of that, we're built around aligned incentives. You only pay if you succeed in getting hired and start work at a high-paying job first.

Everyday we are expanding our team and our services. We are looking for sharp, scrappy and fun individuals who are ready to jump in (head first) into a new role with us. We are a small team and we love working together to improve our fellows chances of getting the job of their dreams! If this sounds like something you'd be interested in we want to talk to you.

Our Mission

We seek to uplift job seekers in their careers and help them fulfill their hopes, ambitions and livelihoods. Read more about why we’re driven to do this in our manifesto.

In this role, you will create a framework for how we utilize our own data. If you are someone comfortable with qualitative data and can see the amazing potential we have to be a forerunner in this new job seekers market then this could be the perfect role for you.

In order to be effective in this role, you must have a genuine interest in education and technology. Since you will be involved in all phases of coursework from research, development, design and feedback we are looking for someone who is not only passionate but also in love with our Mission of “uplifting undervalued students and tech professional in their early careers.”

This position is ideal for someone with a passion for data science and education, who is entrepreneurial and wants to join a fast-growing startup that's helping the next generation of data scientists!

Qualifications

• 0-3 years in data science
• Excellent communication skills, ability to understand customer needs and provide valuable recommendations
• Strong Python and SQL skills
• Able to effectively synthesize, visualize, and communicate your ideas to others
• Familiar with key data engineering concepts
• Experience with data visualization

Benefits and perks

• Great health, dental and vision benefits
• Free daily catered lunches and snacks
• Commuting costs covered
• Flexible PTO
• Ability to grow in your career and make a difference to individuals and society

We do not discriminate on the basis of race, religion, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by law. If you need assistance or an accommodation due to a disability, please let us know.

Responsibilities

About You

What We Offer

Required Skills:

Desired skills:

W2 Benefits:

What’s in it for you?

Responsibilities

Required Skills

Nice to Haves

What’s in it for you?

Responsibilities

Required Skills

Nice to Have Skills

Our homes are our most valuable asset and also the most difficult to buy and sell. Knock is on a mission to make trading in your house as simple and certain as trading in your car. Started by founding team members of Trulia.com (NYSE: TRLA, acquired by Zillow for $3.5B), Knock is an online home trade-in platform that uses data science to price homes accurately, technology to sell them quickly and a dedicated team of professionals to guide you every step of the way. We share the same top-tier investors as iconic brands like Netflix, Tivo, Match, HomeAway and Houzz.

We are seeking a passionate Software Engineer in Test to help us build our QA & automation processes, procedures, and tools. You will be responsible for integration and regression testing our frontend, mobile, and backend applications, and will be an advocate for a modern DevOps-first automation-rich development and release pipeline. We are looking for someone who is passionate about creating great products and making the world amazing for homebuyers.

At Knock, we have fun, we move fast, we support and celebrate our fellow teammates, and we live by our POPSICLE values.

As a Software Engineer in Test you will: 

• Lead and create robust test documentation including test plans, test cases, and test result analysis.
• Review functional and design specifications to ensure full understanding of deliverables.
• Build, run and maintain automated functional, integration and regression tests to help improve software quality.
• Build and maintain tooling to facilitate testing in the CI/CD pipelines.
• Design metrics for performance, reliability, stability and compatibility with other systems.
• Work deeply with our in-house and field operations team to identify, document, and regression test issues as they occur in the wild
• Collaborate closely and daily with the design, product, engineering teams and other key teams at Knock.

We’re looking for Knockstars who have: 

• Must be U.S. based.
• B.S. in Computer Science or equivalent experience.
• Minimum of 5 years of experience as a software quality assurance engineer.
• Experience in developing test strategies, test plans, test cases, and analyzing test results.
• Experience in building automated functional, integration and regression tests.
• Experience with testing automation frameworks.
• Experience in building automated UI testing for both web and mobile.
• Proven ability to translate functional requirements and use cases into working test plans and test cases.
• A strong customer-first mindset and data-driven approach to their work
• Programming proficiency in HTML, JavaScript, and other scripted or interpreted languages.
• Knowledge of SQL (MySQL or Postgres).
• Proven success working remotely in prior positions & are experienced working with a distributed, national team 

Bonus points for:

• Team and/or technical leadership experience.
• Development and test experience in Node.js and React Native.
• Experience with native Android and iOS automated test frameworks.

• Experience with Docker-based ecosystems and container orchestration systems such as Amazon ECS or Kubernetes.

What We Can Offer You:

• An amazing opportunity to be an integral part of building the next multi-billion dollar consumer brand around the single largest purchase of our lives.
• Talented, passionate and mission-driven peers disrupting the status quo.
• Competitive cash, full medical, dental, vision benefits, 401k, flexible work schedule, unlimited vacation (2 weeks mandatory) and sick time.
• Flexibility to live and work anywhere within the United States. As we are a distributed company and engineering team, we are open to any U.S. location for this role.

We have offices in New York, San Francisco, Atlanta, Charlotte, Raleigh, Dallas-Fort Worth, Phoenix, and Denver with more on the way. In fact, we are proud to be a distributed company with employees in 21 different states. This is an amazing opportunity to be an integral part of building a multi-billion dollar consumer brand in an industry that is long overdue for a new way of doing things. You will be working with a passionate, mission-driven team that is disrupting the status quo.

Knock is an Equal Opportunity Employer.

Please no recruitment firm or agency inquiries, you will not receive a reply from us.

XOi Technologies is changing the way field service companies capture data, create efficiencies, collaborate with their technicians, and drive additional revenue through the use of the XOi Vision platform. Our cloud-based mobile application is powered by a robust set of machine learning capabilities to drive behaviors and create a seamless experience for our users.

We are a group of talented and passionate engineers and data scientists working together to discover and provide valuable insights for our customers. We leverage state-of-the-art machine learning techniques to provide our users with these unique insights, best practices, and solutions to the challenges they face in their workplace. Problems and solutions typically center around aspects of the Vision platform such as image recognition, natural language processing, and content recommendation.

As a Senior Data Scientist, you will build machine learning products to help automate workflows and provide valuable assistance to our customers. You’ll have access to the right tools for the job, large amounts of quality data, and support from leadership that understands the full data science lifecycle. You’ll build models using technologies such as Python, Tensorflow, and Docker.

Responsibilities:

• Interpret and understand business needs/market opportunities, and translate those into production analytics.
• Select appropriate technologies and algorithms for given use cases.
• Work directly with product managers and engineering teams to tightly integrate new analytic capabilities.
• Prepare reports, visualizations, and other documentation on the status, operation and maintenance of the analytics you create.
• Stay current on relevant machine learning and data science practices, and apply those to existing problem sets.

Requirements: 

• Excellent understanding of machine learning algorithms, processes, tools, and platforms including: CNN, RNN, NLP, Tensorflow, PyTorch, etc.
• Proficient with the following (or comparable): Linux, Python, scikit-learn, NumPy, pandas, spaCy.
• Applied experience with machine learning on large datasets/sparse data with structured and unstructured data.
• Experience with deep learning techniques and their optimizations for efficient implementation.
• Great communication skills, ability to explain predictive analytics to non-technical audiences
• Bachelor’s in Math, Engineering, or Computer Science (or technical degree with commensurate industry experience).
• 3+ years of relevant work experience in data science/machine learning.

Nice to Have:

• AWS services such as Lambda, AppSync, S3, and DynamoDB
• DevOps experience with continuous integration/continuous deployment.
• Experience in software engineering best practices, principles, and code design concepts.
• Speech-to-text or OCR expertise.

You Are Someone Who:  

• Has a passion for code quality and craftsmanship.
• Views your profession as your craft and continuously pursues excellence in your work.
• Thrives in a fast-paced, high-growth startup environment.
• Collaborates effectively across various teams, coordinating regularly to set and manage expectations.

You’ll experience:  

• Being a key part of a fast-growing software company where you can make a difference.
• Comprehensive insurance plans.
• Monthly wellness allowance.
• Flexible paid time off & paid volunteer time.
• Learning & development.
• Working in the historic and centrally located Marathon Village in Nashville, TN.
• Participating in team outings, events, and general fun! 
• Helping to change an industry by serving the men and women that make our world turn.

Millions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times—and, with more than 8.5 million users and 50,000 five-star reviews - komoot is on its way to become one of the most popular cycling and hiking apps. Join our fully remote team of 60+ people and change the way people explore!

To help us continue to grow, we are looking for an experienced data scientist dedicated to coding and building production-ready services. With over 8 million active users, komoot possesses a unique dataset of user-generated content, ranging from GPS data from tours, uploaded photos, and tips, to implicit and explicit user feedback. Using this data as well as various open data sources, you will drive product enhancements forward that will directly impact the user experience.

We believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot’s success.

What you will do

• Work closely with our web and mobile developers, designers, copywriters and product managers
• Discuss product improvements, technical possibilities and road maps
• Investigate and evaluate data science approaches for product enhancements
• Write code that is well structured, well tested and documented
• Enhance existing components and APIs as well as write new services from scratch
• Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers)

Why you will love it

• You will be challenged in a wide range of data science tasks
• You deal with a diverse set of data (user-generated content, analytics data and external data sources)
• You go beyond prototyping and ship your code to production
• You contribute to a product with a vision to inspire more people to go outdoors
• You’ll work in a fast-paced startup with strongly motivated and talented co-workers
• You’ll enjoy the freedom to organize yourself the way you want
• We let you work from wherever you want, be it a beach, the mountains, your house, co - working of your choice, our HQ in Berlin/ Potsdam or anywhere else that lies in any time zone situated between UTC-1 and UTC+3
• You’ll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides

You will be successful in this position if you

• Have a passion for finding pragmatic and smart solutions to complex problems
• Have 3+ years of industry experience in data science
• Have 2+ years of experience in professional programming, preferable in Python or Java
• Experience in technologies like Pandas, Numpy, Jupyter Notebooks, Seaborn, Scikit-Learn, PyTorch and TensorFlow
• Know your toolkit: git, ssh, bash and docker.
• Experience in AWS, infrastructure as code and monitoring is a plus
• Have strong communication and team skills
• Have a hands-on attitude and are highly self-driven

Sounds like you?

Then send us the following:

• Your CV in English highlighting your most relevant experience
• A write-up explaining who you are and why you are interested in working at komoot
• Examples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)
• Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, a blog or something else

Carbon Relay is a world-class team of software engineers, data scientists and devops experts focused on harnessing the power of machine learning to help organizations achieve the most with their Kubernetes-based applications. With our innovative optimization platform, we help boost application performance while keeping costs down.

We’re looking for a Software Engineer to work on the next generation of K8s optimization products that bridge the gap between data science, engineering and DevOps. You’ll be working closely with our engineering and data science teams, helping bring products from R&D into production and making our products scale efficiently. 

Responsibilities

• Design and implement features as part of SaaS-based microservices platform
• Contribute to and enhance internal APIs and infrastructure
• Work alongside our data science team to integrate machine learning into our products

Required qualifications

• 1-3 years of software engineering experience
• Experience with Python
• Experience shipping and maintaining software products
• Experience working with Git and GitHub

Preferred qualifications

• Familiarity with Kubernetes and Containerization 
• Experience with GCP/GKE
• Experience developing SaaS applications / microservice architectures

Why join Carbon Relay:

• Competitive salary
• Health, dental, vision and life insurance
• Unlimited vacation policy (and we do really take vacations)
• Snacks, lunches and all the typical benefits you would expect from a well-funded, fun startup!

Overview

Responsibilities

Updated 1/11/20

Data Privacy Analyst

Anonos is a fast-growing start-up in the data privacy software space looking for a Data Privacy Analyst,  who will report to our Chief Data Strategist. This is a remote/work from home position. If you want to be part of an exciting period in the company’s development and growth and think you meet most of the criteria below, we want to hear from you!

Please do not contact us if you are an agency or recruiter. We conduct our own in-house recruiting.

Why Anonos?

Our Co-Founders have been business partners for over 19 years and have an extremely successful track record. They previously built a company that was recognized as one of the fastest growing software companies on the Inc 500® for two years in a row and which was ultimately acquired by Nasdaq OMX. They have built a solid and cohesive team at Anonos which works efficiently, acts quickly, and values energy and focus.

We just received our 7th patent for our foundational technology (with another 60+ pending), and Gartner named us a “Cool Vendor” due to our innovation and uniqueness in the marketplace.

Privacy is one of the hottest technology segments in the market. We are launched, funded, have customers, an established partner channel, and are now ready for fast growth in 2020.

If you thrive working with bright co-workers and the latest technologies, like to contribute and be challenged at the same time, and are comfortable working remotely, we should be a great fit for you.

About Our Product and Solutions

Anonos’ patented BigPrivacy® technology enables compliant data innovation, analytics, use, sharing, combining, and re-linking by technically enforcing automated privacy and security controls in compliance with internal restrictions and external regulatory requirements.

We Value Team Members Who Are:

• Smart: You have outstanding intellectual ability, and a proven track record of quickly learning new skills, concepts, and technologies
• Great Communicators: You are an excellent written and verbal communicator. We are looking for someone who can interact effectively with the C-suite, the newest software engineer, and everyone in between
• Leaders: You can rally team members around a challenge
• Tech Savvy: You understand how information technologies work – and work together. You have experience with data use-cases including analytics, data processing, or similar fields
• Entrepreneurial: You are excited about creating new products at a startup that is re-defining the data privacy landscape
• Strategic and Analytical: You are excited about the prospect of constantly learning about our customers, our product and the market and thinking about the implications for our business
• Results-Oriented: You deliver, on-time. You anticipate obstacles and adjust when unexpected challenges arise
  
  

Responsibilities

This role will initially be focused on supporting potential customer Proofs of Concept/Proofs of Value/Pilots as part of our Sales Process. Successful candidates will have at least 5 years of professional experience, a math, science or engineering degree and be able to demonstrate a combination of software technical acumen, project management, customer engagement and data analytics experience.

Sales Demonstrations / Proofs of Concept / Proofs of Value 

• Support product demonstrations for potential customers
• Prepare synthetic data sets (schema definition, data generation, data wrangling, QA)
• Support translation of client uses case into BigPrivacy configurations and data process flows
• Support 3-hour technical demonstration sessions – step by step configuration of all BigPrivacy software to meet customer use-case requirements
  

Pilot Projects and New Client Implementations

• Support customer onboarding
• Scoping and defining requirements of client IT environment vs software requirements
• Support client install and first line troubleshooting; coordinate problem resolution with the development team when necessary
• Support distribution partner “on-site” project managers to ensure project and technical issues are addressed
• Provide software application training 

Other Activities

• Develop an extensive working knowledge of all Anonos products
• Training of sales partner project management and technical staff as needed
• Participate with internal user-acceptance testing prior to new releases
• Create and edit product and training documentation
• Modify, update and improve existing demonstrations and create new ones
  
  

Desired Skills

Data Analytics/Data Engineering

• Hands-on experience with data analytics – methods, use cases, challenges
• Intermediate Excel (pivot tables, functions, data formatting, dates)
• Data Wrangling, Featuring Engineering
• Pentaho Data Integration or other ETL tools a significant plus
• Data Science skills a significant plus (R, basic ML models, statistical concepts)

IT/Development Tools

• Basic familiarity with several of the following: all or most a significant plus
• Linux – desktop and basic command line, including vim (text editor), SSH
• GitHub, ZenHub (or comparable)
• SQL
• Docker, Kubernetes
• Hadoop, MapR, HDFS, Spark or other BigData tools
• Pseudonymisation, Tokenization, Encryption
  
  General Business
• Experience with Data Privacy (GDPR, CCPA, HIPPA, etc.) a significant plus
• Experience with Regulatory/Standards compliance of any kind financial, ISO, health-care, environmental, quality, nuclear, etc. a significant plus
• Ability to lead meetings and training webinars with customer mid-level technical, professional and management staff
• (Technical/IT) Project Management experience
• Ability to relate to customers and staff in a professional and courteous manner
• Exceptional phone support and software/hardware troubleshooting skills
• Superior verbal and written communication skills
• Ability and desire to work 100% remote, but still highly collaborative; self-starter
• Interest in working for early stage startup – risks, flexibility, adaptability

If this sounds like the right role and the right environment for you, we welcome your application.

Learn more about Anonos at www.anonos.com

Apply here

Data Science Course Mentor

• Mentorship
• Remote

• Part time

Who We Are
At Thinkful, we believe that if schools put in even half the amount of effort that students do the outcomes would be better for everyone. People would have a path to a fulfilling future, instead of being buried under debt. Employers would benefit from a workforce trained for today. And education could finally offer students a return on their investment of both money and time. 

We put in outlandish amounts of effort to create an education that offers our students a guaranteed return on their investment. we partner with employers to create a world-class curriculum built for today. We go to ends of the earth to find mentors who are the best of the best. We invest more in career services than any of our peers. We work hard to be on the ground in the cities our students are. Simply put, no other school works as hard for its students as we do. 

The Position
Students enroll in Thinkful courses to gain the valuable technical and professional skills needed to take them from curious learners to employed technologists. As a Course Mentor, you will support students by acting as an advisor, counselor, and support system as they complete the course and land their first industry job. To achieve this, you will engage with students using the below range of approaches, known as Engagement Formats. Course Mentors are expected to provide support across all formats when needed. 

• Mentor Sessions: Meet with students 1-on-1 in online video sessions to provide technical and professional support as the student progresses through the curriculum.
• Group Sessions: Host online video sessions on topics of your expertise (in alignment with curriculum offerings) for groups of student seeking live support between mentor sessions. 
• Grading: Reviewing student checkpoints submissions and delivering written feedback, including analysis of projects and portfolios. 
• Technical Coaching: Provide in-demand support to technical questions and guidance requests that come to the Technical Coaching team through text and video in a timely manner. This team also provides the TA support for immersive programs. 
• Assessments & Mock Interviews: Conduct 1-on-1 mock interviews and assessments via video calls and provide written feedback to students based on assessment rubrics. 

In addition to working directly with students, Course Mentors are expected to maintain an environment of feedback with the Educator Experience team, and to stay on top of important updates via meetings, email, and Slack. Ideal candidates for this team are highly coachable, display genuine student advocacy, and are comfortable working in a complex, rapidly changing environment.

Requirements

• Minimum of 3 years professional experience as a Data Scientist or demonstrated expertise with data visualizations and machine learning at an industry level
• Proficiency in SQL, Python
• Professional experience with Hadoop and Spark a plus
• Excellent written and verbal communication
• High level of empathy and people management skills
• Must have a reliable, high-speed Internet connection

Benefits

• This is a part-time role (10-25 hours a week)
• Fully remote position, with the option to work evenings and weekends in person in 22 US cities
• Community of 500+ like-minded Educators looking to impact others and keep their skills sharp
• Full access to all of Thinkful Courses for your continued learning
• Grow as an Educator

Apply
If you are interested in this position please provide your resume and a cover letter explaining your interest in the role.

Thinkful can only hire candidates who are eligible to work in the United States.

We stand against any form of workplace harassment based on race, color, religion, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status. Thinkful provides equal employment opportunities to all employees and applicants. If you're talented and driven, please apply.

At this time, we are unable to consider applicants from the following states: Alaska, Delaware, Idaho, New Mexico, North Dakota, South Carolina, South Dakota, West Virginia, and Wyoming

Apply here

Position Overview:

Our tech team is looking for a data scientist with excellent communication skills and demonstrated experience writing idiomatic Python code. You’re comfortable fielding a question from a non-technical stakeholder about our dataset and then putting together a data visualization with the answer. You’re also ready to troubleshoot a bug in one of our existing ETL scripts and make a pull request with a detailed write-up of the fix. We use Google BigQuery, PowerBI, spaCy, pandas, Airflow, Docker.

The right candidate has experience with the Python data science stack as well as one or more BI tools such as Tableau or PowerBI, and is able to juggle competing priorities with finesse. Working in a fast-paced, flexible, start-up environment; we welcome your adaptability, curiosity, passion, grit, and creativity to contribute to our cutting-edge research of this growing, fascinating industry.

Key Responsibilities:

• Query and transform data with Standard SQL and pandas
• Build BI reports to answer questions of our data
• Work with our data engineering team to munge large datasets using our existing data pipelines for our existing BI reports

Qualifications & Skills:

REQUIRED:

• 1-3 years of experience working full-time with Python for data science; we use pandas, scikit-learn, and numpy
• Intermediate-to-expert level SQL experience; we use Standard SQL
• Experience with one or more natural language processing frameworks; we use spaCy.
• Excellent communication skills and demonstrated ability to collaborate with non-technical stakeholders to create compelling answers to tough data questions
• Intermediate-to-expert level skills with one or more interactive business intelligence tools like PowerBI or Tableau

PREFERRED:

• Experience with CI/CD tools like CircleCI; we use GitHub Actions
• Experience with Docker
• Experience with Airflow

BENEFITS:

• Choose your own laptop
• Health Insurance
• 401K

Position Overview:

The ideal candidate is an experienced data engineer. You will help us develop and maintain our data pipelines, built with Python, Standard SQL, pandas, and Airflow within Google Cloud Platform. We are in a transitional phase of refactoring our legacy Python data transformation scripts into iterable Airflow DAGs and developing CI/CD processes around these data transformations. If that sounds exciting to you, you’ll love this job. You will be expected to build scalable data ingress and egress pipelines across data storage products, deploy new ETL pipelines and diagnose, troubleshoot and improve existing data architecture. Working in a fast-paced, flexible, start-up environment; we welcome your adaptability, curiosity, passion, grit, and creativity to contribute to our cutting-edge research of this growing, fascinating industry. 

Key Responsibilities:

• Build and maintain ETL processes with our stack: Airflow, Standard SQL, pandas, spaCy, and Google Cloud. 

• Write efficient, scalable code to munge, clean, and derive intelligence from our dataPage Break

Qualifications & Skills: 

REQUIRED:

• 1-3 years experience in a data-oriented Python role, including use of:
  

• Google Cloud Platform (GCE, GBQ, Cloud Composer, GKE)
  
• Airflow
• CI/CD like: GitHub Actions or CircleCI 
• Docker

• Fluency in the core tenants of the Python data science stack: SQL, pandas, scikit-learn, etc. 

• Familiarity with modern NLP systems and processes, ideally spaCy

PREFERRED:

• Demonstrated ability to collaborate effectively with non-technical stakeholders
• Experience scaling data processes with Kubernetes 
• Experience with survey and/or social media data

• Experience preparing data for one or more interactive data visualization tools like PowerBI or Tableau

BENEFITS:

• Choose your own laptop
• Health Insurance

• 401K

Responsibilities

Follow-on Responsibilities

Requirements

Description

We are looking for an R developer to build and maintain our R interface to the TileDB array storage engine and hosted cloud service. R is a very popular programming language used by numerous developers in the Bio and Finance communities, among many others. The TileDB core library is built in C++ for supreme performance, and we built an R API so that it can be used by the R community. We are looking for a person to improve our R API and expand it with computational capabilities (e.g., integration with dplyr) and domain specific software (e.g., Bioconductor).

As an R Engineer, you will be responsible for

• Leading the development of TileDB-R (TileDB R API)
• Building out features to better integrate TileDB-R with commonly used R data science libraries
• Troubleshooting and fixing bugs reported by users
• Building and developing use cases around using TileDB in the R ecosystem

Location

Our headquarters are in Cambridge, MA, USA and we have a subsidiary in Athens, Greece. However, you will have the flexibility to work remotely as long as your residence is in the USA or Greece. US candidates must be US citizens, whereas Greek candidates must be Greek or EU citizens.

Expectations

In your first 30 days, you will familiarize yourself with the core TileDB storage engine and the existing TileDB-R API. For your next 30 days, you will start contributing to TileDB-R, adding missing core TileDB functions and improving the performance of the existing ones. After 60 days, you will be fully integrated in our team. You will start researching R use cases and exploring further integrations with popular R packages.

Requirements

• Experience developing and maintaining R libraries
• Experience using a low-level R API for a C library
• Experience using Rcpp / C++ for R extensions
• Familiarity with S3 / S4 OO frameworks
• Familiarity with R packaging, distribution with CRAN
• Experience extending / building upon data.frame / data.table API’s
• Domain knowledge in using R within the fields of finance or bioinformatics

Benefits

• Competitive salary and stock options
• 100% medical and dental insurance coverage (for you and your dependents!)
• Paid parental leave
• Paid time off (vacation, sick & public holidays)
• Flexible time off & flexible hours
• Flexibility to work remotely (anywhere in the US or Greece)

TileDB, Inc. is proud to be an Equal Opportunity Employer building a diverse and inclusive team.

Roadtrippers Place Lab powers the geo-data for Roadtrippers consumer web and mobile applications and the underlying B2B services.  Roadtrippers Place Lab is looking for a detail-oriented problem solver to join the team as a Data Engineer focusing on all things geo-data. This engineer will share the responsibility of data quality and fidelity with our engineering, data science, and data quality teams by developing better ways to evaluate, audit, augment, and ingest data about places.

Responsibilities

• Work with the AI/ML research team in developing new models and pipelines to derive insights and improve our data quality
• Bridge AI/ML research to assist in building production pipelines and improve the efficiency transitioning from development
• Own production AI/ML pipelines including revisions, optimizations and detecting root-cause anomalies
• Assist in planning and implementation of data ingestion, sourcing, and automation projects
• Communicate with Engineering and Product teams about requirements and opportunities as it relates to new data and schema updates
• Contribute to application development for data initiatives 
• Identify, participate and implement initiatives for continuous improvement of data ingestion, quality, and processes.
• Manually manipulate data when necessary, while learning and applying these needs to scale future projects

Qualifications

• Experience with Data Science/ML/AI
• Experience working with geospatial data is a huge plus
• Development experience with Python
• Knowledge of SQL (ideally Postgres), Elasticsearch and schemaless databases
• Experience with ETL and implementing Data Pipeline architecture 
• AWS and SageMaker experience is particularly valuable 
• Big data experience is ideal 
• Understanding of web application architecture, Ruby and Ruby on Rails experience is a plus
• A "do what it takes" attitude and a passion for great user experience
• Strong communication skills and experience working with highly technical teams
• Passion for identifying and solving problems
• Comfort in a fast-paced, highly-dynamic environment with multiple stakeholders

We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.

About you:

• Care deeply about democratizing access to data.  
• Passionate about big data and are excited by seemingly-impossible challenges.
• At least 80% of people who have worked with you put you in the top 10% of the people they have worked with.
• You think life is too short to work with B-players.
• You are entrepreneurial and want to work in a super fact-paced environment where the solutions aren’t already predefined.
• You live in the U.S. or Canada and are comfortable working remotely.

About SafeGraph: 

• SafeGraph is a B2B data company that sells to data scientists and machine learning engineers. 
• SafeGraph's goal is to be the place for all information about physical Places
• SafeGraph currently has 20+ people and has raised a $20 million Series A.  CEO previously was founder and CEO of LiveRamp (NYSE:RAMP).
• Company is growing fast, over $10M ARR, and is currently profitable. 
• Company is based in San Francisco but about 50% of the team is remote (all in the U.S.). We get the entire company together in the same place every month.

About the role:

• Core software engineer.
• Reporting to SafeGraph's CTO.
• Work as an individual contributor.  
• Opportunities for future leadership.

Requirements:

• You have at least 6 years of relevant work experience.
• Proficiency writing production-quality code, preferably in Scala, Java, or Python.
• Strong familiarity with map/reduce programming models.
• Deep understanding of all things “database” - schema design, optimization, scalability, etc.
• You are authorized to work in the U.S.
• Excellent communication skills.
• You are amazingly entrepreneurial.
• You want to help build a massive company. 

Nice to haves:

• Experience using Apache Spark to solve production-scale problems.
• Experience with AWS.
• Experience with building ML models from the ground up.
• Experience working with huge data sets.
• Python, Database and Systems Design, Scala, Data Science, Apache Spark, Hadoop MapReduce.