own multiple concurrent projects across model development, strategic analysis, and analytics product delivery — framing the business question, designing the approach, building the solution, and presenting findings to senior stakeholders (Lead Director, Executive Director, AVP)
set technical direction for your workstream, mentor junior data scientists, and partner directly with business leaders across sales, underwriting, and finance to turn analysis into action

5–8+ years of data science experience, with at least 2 years in financial services, insurance, healthcare, or PBM
Track record of analytical work that changed business decisions — not just answered questions
Production-grade Python and advanced SQL; proficiency with PySpark, Databricks, Snowflake, distributed computing or equivalent.
Strong fundamentals across regression, classification, clustering, time-series forecasting, and experiment design — with the judgment to pick the right tool for each problem
Familiarity with the ML model lifecycle: training, validation, deployment, monitoring, and drift detection
Ability to explain a model's assumptions and limits to a non-technical executive in three sentences
Experience leading workstreams, mentoring peers, and partnering with senior stakeholders (Lead Director and above)

medical, dental, and vision coverage
paid time off
retirement savings options
wellness programs
comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families

Senior Data Scientist

Key skills