Director, Data Science - Risk Adjustment

Hi, we're Oscar. We're hiring a Director, Data Science - Risk Adjustment to join our Data Science team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. 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. The role combines organizational leadership, technical depth, and strategic influence, requiring strong experience in healthcare analytics, statistical modeling, experimentation, and modern AI/LLM-enabled workflows. You will report into the VP, Data. Work Location: This position is based in either our New York City office, Los Angeles office, Tempe Office, or can sit remotely in San Fransisco, Boston, Dallas, or Atlanta markets. If you live in the NYC, LA, or Tempe markets, this will be a 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. #LI-Hybrid Pay Transparency: The base pay for this role is: $218,592 - $286,902 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. 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 Leads 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.