Apply causal inference methods where experimentation isn't feasible
Develop models to inform pricing, segmentation, and revenue optimization
Design, run, and analyze A/B experiments
Partner with product, engineering, and finance to translate questions into measurements
Build and maintain dashboards, reporting, and analytical tooling for decision-making
Location options: San Francisco, New York, or Seattle

🎯 Requirements

3+ years of experience as a data scientist, applied scientist, economist, or related field, or a PhD in Economics, Statistics, CS, or related field
Proficiency in SQL
Proficiency with Python or R
Strong foundation in experimentation and causal inference, incl. A/B design
Strong communication skills across technical and non-technical stakeholders
Comfort building dashboards and recurring reporting

🎁 Benefits

Medical, Dental, Vision & Disability Insurance
401(k)
Maternity and parental leave
Flexible PTO
Amazon Employee Discount

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