Senior Data Scientist - Solutions Engineering

Remote, US

Full Time Senior-level / Expert
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Saturn Cloud is building an innovative cloud platform for data scientists to do their work using distributed clusters, GPUs, and deployments. Saturn Cloud is used by enterprise customers, small teams, and hobbyists to use Python quickly and without a fuss. We are an early startup with significant funding and corporate partners like AWS, NVIDIA, and Snowflake.

 

This position is for a data scientist to help support the development of the product through assisting customers. You’ll be collaborating with companies to create POCs that use cutting edge tools like Dask on the Saturn Cloud platform. This might include building or refactoring machine learning pipelines for customers, writing tutorials for machine learning workflows, and fielding technical machine learning questions from customers or the public. You may also give talks about Saturn Cloud at conferences and write blog posts about machine learning concepts and our product. 

 

Data scientists at Saturn Cloud do a variety of tasks. Here are some projects data scientists on the team have worked on:

  • Created a Python API for a customer that takes their video data, passes it to a Dask cluster to process it with PyTorch on GPUs, then returned a result
  • Developed an open source library to make parallel training on Dask clusters easier in PyTorch
  • Built the internal analytics dashboards for our product so we can monitor how customers use it
  • Gave a talk at a major tech conference on how distributed computing can improve even small machine learning problems

For this position candidates should have:

  • Experience applying data science and building machine learning pipelines in the business setting. This might include constructing models that ingest data on a schedule and/or serve results to customers or other business stakeholders in real time. You understand the ebb and flow of data science projects in corporate environments and can help Saturn Cloud design the product around it.
  • The ability to write data science code in Python. Saturn Cloud is designed around Python, however candidates with strong programming skills in similar languages (like R or Julia) and a willingness to switch to Python will be considered. Our customers and audiences mainly use Python, so the support and technical expertise we offer is usually in Python. In particular, the ideal candidate will have the ability to load and clean data, train machine learning models, and create dashboards or APIs.
  • Experience working with customers or stakeholders on data science tasks. Our data scientists work closely with customers or the public, helping them to use our product effectively and optimize their machine learning workflows. You know how to collaborate with other data scientists and technical teams on machine learning, and make them more productive.  

Bonus Points:

    • Experience with Dask, the Python distributed computing framework
    • Experience with machine learning on GPUs
    • Success in communicating data science concepts to individuals and audiences. Some examples of success include: having given talks at conferences, written a blog, and given internal presentations to large groups of business stakeholders
  • Having worked at a small startup previously

 

We are also looking for a data scientist more focused on developer advocacy and community development. If that might fit you better, please visit https://boards.greenhouse.io/saturncloud and apply!

 

Saturn Cloud believes in the importance of diversity and inclusion, and especially invites people from under-represented groups to apply for our openings. 

What we offer

  • Competitive salary commensurate with your growing experience
  • 100% remote work, open to candidates anywhere in the US
  • Stock options in early-stage venture poised for scale
  • Medical, dental, and vision coverage fully paid by the company
  • Paid parental/family leave
  • 401k Retirement Plan with a 6% match
  • Unlimited PTO (with staff expected to use 3 weeks a year minimum) 
  • A healthy work environment where:
    • We value work-life balance
    • Everyone’s ideas are welcomed and heard
    • Difference and diversity are valued and appreciated
Job region(s): Remote/Anywhere North America
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