Director of Data Science, Oscar Health

• 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

Desirable

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