Hi, we're Oscar. We're hiring a Director, Data Science - Risk Adjustment to join our Data Science team.

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.
• 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
• Other duties as assigned

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

This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.

Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.