Data Scientist II

About the Role

The Data Scientist II leverages modeling and analytics techniques to support data-driven decision making across Oscar Health. You will drive data science projects across multiple teams and domains, take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product, and data stakeholders to deliver impactful solutions.

This role is hybrid, requiring 3 days per week in-office (Thursdays required, plus two flexible days) at Oscar's New York City, Los Angeles, or Tempe offices.

Responsibilities

• Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions.
• Own projects end-to-end, including problem definition, implementation, validation, and iteration.
• Deliver high-quality analytical and modeling outputs with limited manager oversight.
• Collaborate closely with data science peers and cross-functional partners across business units.
• Help ensure data science processes and outputs align with broader team strategies and roadmaps.
• Provide guidance or informal mentorship to junior data scientists or analysts when needed.
• Contribute to improving data science practices, tooling, and documentation.

Requirements

• 3+ years of experience in data science, applied analytics, or a related quantitative technical field (industry, academia, or both).
• 2+ years of work experience working with SQL, Python, and/or R to query, manipulate, and analyze data.
• 2+ years of experience building data models, using advanced analytics methods, statistical modeling, and/or data processing.

Bonus Points

• Master's degree in a quantitative or technical field.
• Knowledge of or previous work experience in healthcare or health insurance.
• Experience deploying or supporting models in production environments.
• Experience mentoring or supporting junior team members.