Data Scientist 6 - Experimentation Platform

📋 Description

• Define strategic direction of the experimentation platform to enable high-quality experiments.
• Establish standards for experimentation and causal inference (peeking, covariate adjustment
• Ensure allocation, logging, data processing, and inference are trustworthy and verifiable via
• Partner with data science and engineering teams to translate needs into platform capabilities.
• Consolidate fragmented experimentation systems into a coherent, modern platform.
• Translate ambiguous challenges into a prioritized product roadmap for self-service tools.

🎯 Requirements

• Advanced degree such as a PhD or Master’s in CS, Statistics, Economics, Applied Math, or
• 8+ years applying statistics and causal inference to experimentation, designing experiments at
• Proven experience establishing standards/tools adopted across multiple teams or organization.
• Deep understanding of experimentation risks (sample ratio mismatches, winner’s curse, regression to
• Experience turning complex problems into a roadmapped product, with 5+ years Python and SQL
• Exceptional communication and stakeholder-management skills.

🎁 Benefits

• Annual compensation range of $491,000–$775,000, varies by location and background.
• Compensation structured around salary and stock options.
• Comprehensive health insurance plans and mental health support.
• 401(k) with employer matching.
• Stock option program.
• Disability programs, HSA, and FSA.