Staff Data Scientist - Experimentation & Causal Inference

📋 Description

• Define the end-to-end experimentation methodology.
• Set the standard for experiment design and causal inference.
• Apply rigorous tests in a fast, multi-product SaaS context.
• Build tools for clustered, hierarchical data and units.
• Partner with AI/ML teams to evaluate AI-feature experiments.
• Run and moderate the experiment review forum for reliable results.

🎯 Requirements

• 9+ years in data science or analytics with online experiments.
• Strong applied statistics: frequentist, Bayesian, power.
• Practical causal inference; distinguish causality vs artifacts.
• Experience in small-sample, fast-paced multi-product contexts.
• Strong SQL and Python or R proficiency.
• Cross-functional leadership; raise quality without authority.

🎁 Benefits

• Familiarity with Statsig or modern experimentation platforms.
• Experience building experimentation practice from scratch.
• B2B SaaS/CRM background and measurement challenges.