Lead Director - Clinical Risk Data Science
At a glance
AI generatedTL;DR
Lead the Clinical and Risk Modeling Data Science team as a senior data science manager, driving the development of advanced predictive models that transform clinical, claims, and risk data into actionable insights. Day-to-day responsibilities include setting technical direction, mentoring team members, and overseeing the end-to-end lifecycle of predictive models from design to deployment. Utilize deep expertise in statistical modeling, machine learning, and AI techniques to develop frameworks for monitoring model performance and delivering data-driven solutions that inform enterprise strategy. Key technologies and tools include Python, R, SQL, Google Cloud Platform (GCP), BigQuery, Vertex AI, and MLOps frameworks. This role focuses on healthcare analytics, requiring extensive experience in clinical domains, risk adjustment, and predictive modeling to improve member health outcomes and optimize financial performance.
Skills
What you'll do
- Leads and develops a team of data scientists focused on clinical analytics and AI/ML model development.
- Oversees end-to-end lifecycle of predictive models, from design to deployment and monitoring.
- Directs initiatives using advanced techniques like NLP across various healthcare data sources.
- Establishes technical standards for model development, ensuring compliance with regulatory requirements.
- Applies expertise in clinical risk modeling to deliver solutions that drive business and clinical impact.
What we're looking for
- Over 10 years of experience in data science and statistical modeling, with significant healthcare domain expertise.
- Proven leadership in developing and mentoring teams of data scientists and machine learning engineers.
- Deep technical proficiency in statistical modeling, machine learning, AI techniques, and model deployment.
- Strong collaboration skills across clinical, technical, and executive stakeholders to drive business outcomes.
- Expertise in healthcare analytics, including HCC/CMS-HCC, risk adjustment, and quality performance metrics.
- Mastery of modern ML/AI tooling such as Python, R, SQL, and cloud platforms like Google Cloud Platform (GCP).
- Advanced degree in a quantitative field preferred (Statistics, Data Science, Computer Science, etc.).
Employer
About CVS Health
CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy
CVS Health currently has 104 open roles on FindRole.
Listed pay typically runs $118,450–$284,280 across 100 roles with salary data.
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