Senior Staff Data Scientist - Bayesian Experimentation & Causal Inference

📋 Description

• Own causal inference and experimentation standards.
• Define canonical approaches, guardrails, and reviews.
• Build a confidence ladder mapping findings to confidence levels.
• Design learning strategy for hard questions like provider activation and payer economics.
• Lead Bayesian experimentation practices and tooling.
• Mentor data scientists and raise measurement standards.

🎯 Requirements

• 12+ years applying causal inference, experimentation, and statistics.
• Deep expertise in causal inference in randomized and observational settings.
• Deep expertise in Bayesian methods for experimentation and decision-making.
• Strong SQL and Python or R; building reusable analysis tools.
• Track record of setting org-wide standards improving decision quality.
• Executive-level communications across Product, Growth, Ops, Finance, and Eng.

🎁 Benefits

• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home stipend
• Therapy Reimbursement