Principal Data Scientist
Core
Define analytical standards, shape technical direction for strategic initiatives, and apply deep expertise in statistics, experimentation, causal inference, forecasting, and machine learning to solve complex business problems at scale.
Role type
Principal Data Scientist (Senior IC with enterprise-wide influence)
Builds
Defensible analytical programs, reusable methods, and decision-making frameworks for enterprise growth and operational excellence
Domain
Healthcare technology (diabetes technology) + Enterprise Data & 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 across the organization; Lead design of novel, high-complexity analyses for strategic decisions; Provide technical oversight for critical predictive and machine learning models; Partner with senior leaders to translate ambiguous challenges into structured analytical programs; Establish standards for reproducible analysis, code quality, and model lifecycle management; Mentor Data Scientists and Senior Data Scientists on problem framing and technical rigor
Seniority
Principal, strategy & mentorship
