Pricing Applied Scientist, Pricing Science
Amazon· Applied Science
Seattle, WA$142.8k - $193.2kFull-timePosted yesterday
About the role
Pricing is a critical, rigorously causal area at Amazon. The P2 Optimization Science (P2OS) team builds ML systems powering pricing decisions at scale, including demand lift models, customer lifetime value frameworks, and pricing experimentation infrastructure. The role focuses on owning causal inference at the intersection of ML and pricing experimentation, building production-quality causal pipelines and reusable infrastructure for a broad team.
Responsibilities
- Own causal inference at the intersection of ML and pricing experimentation
- Build CATE estimation models
- Design analysis workflows for pricing weblabs
- Develop reusable causal ML infrastructure for the broader team, including non-ML scientists
- Measure impact by changes in LTV estimates and pricing errors avoided, and enable economists to use the developed tooling
Qualifications
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Skills
Required:Causal inferenceCATE estimationProduction ML pipelinesPricing experimentationProgramming
Benefits
- Base salary with sign-on payments and RSUs
- Comprehensive benefits including health insurance (medical, dental, vision, prescription) and life insurance options
- 401(k) matching, paid time off, parental leave
Last updated Oct 25, 2026. Interested? Apply on the company site.
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