Director, Data Science - Risk Adjustment

About the role

The Director, Data Science Risk Adjustment, leads teams developing advanced analytics, machine learning, and AI-driven solutions that support Oscar’s risk adjustment strategy and broader business objectives. This leader partners cross-functionally across Data Science, Product, Engineering, Clinical, Finance, and Actuarial organizations to build scalable analytical systems, drive operational and financial performance, and deliver high-impact insights in complex healthcare environments.

Responsibilities

• Translates company goals into roadmaps, plans, and tactics for their area.
• Key part of the department leadership team to influence in team strategy, operations, scope and culture.
• Led and manages medium sized team(s) of data scientists and/or analysts, including managers.
• Influences and collaborates closely with senior data and business leaders across multiple areas.
• Leads team(s) that research, develop, and maintain data pipelines, statistical/ML models, and/or advanced analyses.
• Lead delivery of solutions through organizational design, cross-functional advocacy, systems design, management, and/or mentorship.
• Champion a culture of collaboration and synergy within the data science team, among stakeholders, and across the broader organization.
• Act as an advocate for the data science team, communicating their contributions and needs to senior leadership and other departments to ensure visibility and alignment with organizational goals.
• Compliance with all applicable laws and regulations.

Requirements

• 10+ years of industry or other quantitative technical fields (which may include academia).
• 7+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data.
• 7+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing.
• 5+ years of experience working with data in healthcare (risk adjustment and/or actuarial experience preferred).
• 5+ years working in a complex environment and managing interactions with multiple cross-functional stakeholders (business, product, engineering, etc.).
• 3+ years of experience working with LLMs, entity recognition and extraction techniques.
• 3+ years of people management experience.

Bonus Points

• Advanced degree in a quantitative or technical field.
• Experience in the finance and/or insurance industries.

Pay, Benefits & Schedule

Base pay range: $218,592 - $286,902 per year.
Eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.
Work Location: Based in either our New York City office, Los Angeles office, Tempe Office, or can sit remotely in San Francisco, Boston, Dallas, or Atlanta markets. Hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule.