Senior Data Scientist - Risk Prediction Engine
Core
Develop next-generation risk prediction models using advanced machine learning and statistical techniques to inform business-critical decisions in healthcare.
Role type
Senior IC data scientist (risk modeling & AI/ML)
Builds
Production risk prediction models for CVS Health & Aetna
Domain
Healthcare + Actuarial Science
Deliverable
production ML models
Required skills
SQL, Python, Spark, Cloud computing (AWS/GCP/Azure), statistical predictive modeling, algorithmic instincts, risk management judgment, LLM/AI tool fluency
Preferred skills
Master's/PhD in quantitative field, 5+ years experience, track record of using AI tools to accelerate workflow
Technologies
Python, R, SQL, Spark, AWS, GCP, MS Azure, Large Language Models
Responsibilities
Develop algorithms and statistical predictive models to evaluate scenarios and future outcomes; Analyze structured and unstructured data to solve complex business problems; Collaborate with business partners to develop predictive modeling and performance metrics; Present analytics results and solutions to constituents; Investigate problems, detect patterns, and recommend solutions using predictive models; Explore and interpret large volumes of data using strong programming skills; Validate models that inform business-critical decisions; Rapidly learn unfamiliar domains and test hypotheses efficiently.
