Manager, Risk Adjustment Data Science

Lead Data Scientist is a recognized subject-matter expert who operates with minimal supervision and is the primary point of accountability for an area of data science work. Decisions impact function-wide results. This job proactively addresses undefined problems, makes recommendations that influence functional strategy, and synthesizes input across multiple stakeholder groups.

• Own the development and productionization of advanced machine learning models and analytical frameworks that address the organization's most complex business and clinical problems.

• Lead end-to-end data science projects from problem framing through model deployment, coordinating with data engineering, analytics, and business stakeholders to ensure enterprise readiness.

• Design experiments, evaluation frameworks, and model validation approaches that ensure data science solutions meet defined performance and business impact thresholds.

• Serve as the primary data science resource for cross-functional business partners, translating complex analytical findings into strategic recommendations for senior leadership.

• Identify opportunities to apply data science methods to unaddressed business problems and develop business cases for new modeling initiatives.

• Establish and maintain best practices for model documentation, version control, and performance monitoring across the data science team.

• Provide mentorship and technical guidance to data scientists and analysts, elevating the team's modeling capability and analytical rigor.