Senior Data Scientist

About the Role

Oscar's data team is focused on pushing our understanding of the complex landscape of the healthcare and insurance business. The Risk Adjustment Data Science team turns broad and deep data—spanning financial claims, clinical medical records, and rich product interaction data—into models, pipelines, and systems that quantify Oscar's clinical risk and power risk adjustment submissions, directly impacting 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 partner with the Actuarial team (core stakeholders), internal Risk Adjustment team, and other business functions to re-engineer workflows into robust, accurate, and feature-rich data science infrastructure.

You will own projects end-to-end—scoping problems, designing technical approaches, implementing pipelines and models, validating outputs against existing processes, and iterating post-launch. You will also help shape the technical direction of risk adjustment models and infrastructure and provide informal mentorship to junior data scientists.

This role reports to the Senior Manager, Data Science on the Risk Adjustment team.

Responsibilities

• Design, build, and maintain production data pipelines, statistical/ML models, and analytical systems supporting Oscar's clinical risk adjustment quantification and submissions processes.
• Partner closely with business stakeholders, including Actuarial and Risk Adjustment teams, to translate manual processes into automated, validated, and feature-rich systems.
• Own projects end-to-end, including problem definition, technical design, implementation, validation against existing processes, and post-launch iteration.
• Collaborate closely with data and business counterparts across functional areas.
• Work with the team and manager to impact long-term strategies and roadmaps.
• Provide informal mentorship to junior data scientists.
• Ensure compliance with all applicable laws and regulations.

Requirements

• 4+ years of experience in industry or other quantitative technical fields (including academia).
• 3+ years of work experience working with SQL and Python to query, manipulate, and analyze data.
• 3+ years of experience building data models, using 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.

Bonus Points

• Advanced degree in a quantitative or technical field.
• Experience in the healthcare, finance, and/or insurance industries.
• Experience with risk adjustment, actuarial processes, or health insurance financial modeling.
• Experience converting manual or spreadsheet-based analytical processes into automated production systems.
• Experience with modern data and orchestration tooling (e.g., BigQuery, dbt, Dataflow) and cloud platforms.

Work Location

This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week (Thursdays are required; the other two days are flexible).