Oscar Health
Senior Data Scientist
$164K–$215K
New York, New York, United States · Senior · Full-time · Posted Jul 24, 2026
- Experience
- 4+ years in industry or other quantitative technical fields (which may include academia); 3+ years working with SQL and Python; 3+ years building data models and using advanced analytics, statistical modeling, and/or data processing.
About the job
Builds production data pipelines, models, and systems that automate and improve Oscar’s clinical risk adjustment processes and submissions.
What you'll do
- Design, build, maintain, and validate production pipelines, statistical/ML models, and analytical systems.
- Partner with Actuarial and Risk Adjustment stakeholders to automate manual workflows; own projects from scoping through post-launch iteration.
- Help shape team strategy and roadmap, collaborate across functions, and informally mentor junior data scientists.
What they ask for
- 4+ years of industry or other quantitative technical-field experience, including academia.
- 3+ years working with SQL and Python to query, manipulate, and analyze data.
- 3+ years building data models and using advanced analytics, statistical modeling, and/or data processing.
- Experience maintaining production pipelines or systems and applying software engineering practices such as version control, code review, and testing.
Nice to have
- Advanced degree in a quantitative or technical field.
- Experience in healthcare, finance, insurance, risk adjustment, actuarial processes, or automating manual analytical workflows; familiarity with modern data/orchestration tools and cloud platforms.
Pay
$163,944 - $215,176.50 per year (base salary)
Tools
SQL, Python, BigQuery, dbt, Dataflow
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