Senior Data Scientist

4+ years of industry or other quantitative technical fields (which may include academia).

3+ years of work experience working with SQL and Python to query, manipulate, and analyze data

3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Experience designing, building, and maintaining production data pipelines or systems, applying software engineering best practices such as version control, code review, and testing

Experience with risk adjustment, actuarial processes, or health insurance financial modeling

Experience converting manual or spreadsheet-based analytical processes into automated production systems

Oscar's data team is focused on pushing our understanding of the complex landscape of the healthcare and insurance business.

Insurance companies sit on a trove of data that is both broad and deep—spanning financial claims, clinical medical records, and rich product interaction data from our members.

The Risk Adjustment Data Science team turns that data into the models, pipelines, and systems that quantify Oscar's clinical risk and power our risk adjustment submissions—work that directly impacts Oscar's financial performance and strategic decision-making.

As a Senior Data Scientist on this team, you will design, build, and maintain systems that automate manual business processes across the risk adjustment space.

You will work closely with these stakeholders to understand their processes, then bring those workflows into our data science infrastructure—re-engineering them to be more robust, accurate, and feature-rich.

This is a builder-focused role: the ideal candidate is energized by taking an ambiguous, manual process and turning it into well-engineered, validated, and maintainable production systems.