Hybrid product data science role reporting to a Staff Product Data Scientist
Partner with Engineering to translate algorithmic logic into automated, production-grade pipelines
Work on marketplace experimentation, causal inference, and product strategy

🎯 Requirements

Advanced degree in quantitative field (Statistics, Economics, OR, CS)
8+ years in industry focusing on causal inference, experimental design, and applied statistics
Proficiency in SQL and Python; experience building automated experimentation tools
Strong product sense; ability to explain technical concepts to non-technical stakeholders

🎁 Benefits

Salary range: $230,000 — $284,000 USD
Discretionary annual bonus, equity incentive plan, and benefits program

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