Principal Data Scientist (Hybrid)
Core
Define analytical standards, shape technical direction, and solve complex business problems using advanced statistics, causal inference, and machine learning to drive enterprise strategy and innovation.
Role type
Principal Data Scientist (Senior IC with enterprise-wide influence)
Builds
Defensible analytical programs, reusable methods, and decision frameworks for the Enterprise Data & AI organization
Domain
Healthcare technology (diabetes technology) + Data Science & AI
Deliverable
production ML models
Required skills
Causal inference, experimental design, time-series forecasting, machine learning, statistical modeling, quantitative decision science, model governance, technical mentorship
Preferred skills
None stated
Technologies
None stated
Responsibilities
Define and evolve analytical methodologies and standards; lead high-complexity statistical analyses and causal inference; guide predictive modeling and ML lifecycle management; advise senior leaders on measurement strategy and risk; establish reproducible analysis frameworks; mentor data science teams.
Seniority
Principal, strategy & mentorship
