Pricing Applied Scientist, Pricing Science

Pricing is one of the most consequential decisions Amazon makes and the science behind it needs to be causally rigorous not just predictive. The P2 Optimization Science (P2OS) team builds the machine learning systems that power Amazons pricing decisions at scale: demand lift models customer lifetime value frameworks and the experimentation infrastructure that validates whether our pricing changes actually work.

Were hiring an Applied Scientist to own causal inference at the intersection of ML and pricing experimentation. This role exists because our team has identified a real gap: the methodological bridge between econometric analysis (owned by our economists) and production-scale ML pipelines (owned by our engineers) needs a practitioner who lives in both worlds. Youll build CATE estimation models design analysis workflows for pricing weblabs and develop the reusable causal ML infrastructure that the broader team including non-ML scientists can rely on.

This is not a research role. The bias here is toward shipping production-quality causal pipelines with real downstream business impact. Youll measure success by what changes in LTV estimates what pricing errors your models help avoid and whether the economists on your team can actually use what you build.
If youre a scientist who wants to work on hard causal identification problems in a high-stakes production environment and who finds satisfaction in making rigorous methods accessible to a broader team this role is for you.

- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing

- Experience using Unix/Linux
- Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 142800.00 - 193200.00 USD annually

Required Experience:

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