Oscar Health
Data Scientist II
$131K–$172K
New York, New York, United States +2 · Full-time · Posted Feb 6, 2026
- Location
- New York, New York, United States
Los Angeles, California, United States
Tempe, Arizona, United States - Experience
- 3+ years in data science, applied analytics, or a related quantitative field; 2+ years using SQL and Python and/or R; 2+ years building data models and using advanced analytics, statistical modeling, and/or data processing.
About the job
Drives end-to-end data science projects, developing analytical models and data pipelines to address healthcare and insurance business needs.
What you'll do
- Develop and maintain data pipelines, statistical models, and advanced analytical solutions; own projects from definition through validation and iteration.
- Collaborate with cross-functional partners and align data science work with team strategies and roadmaps.
- Improve data science practices, tooling, and documentation; provide informal guidance to junior colleagues when needed.
What they ask for
- 3+ years of experience in data science, applied analytics, or a related quantitative field.
- 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data.
- 2+ years of experience building data models and using advanced analytics methods, statistical modeling, and/or data processing.
Nice to have
- Master’s degree in a quantitative or technical field; knowledge of or experience in health care or health insurance.
- Experience mentoring junior team members or deploying or supporting models in production environments.
Pay
$131,200 - $172,200 per year (base salary)
Tools
SQL, Python, R
AI focus
The posting notes that Oscar's AI Guidelines describe acceptable candidate use of AI and how AI supports recruiting; it does not specify AI work for this role.
Model-written summary · the original posting is authoritative