Sr. Economist, Pricing Science

Amazon's 1P retail pricing systems make millions of automated decisions every day to deliver competitive prices to customers. As agentic shopping tools become more prevalent, we work to ensure these systems continue to produce efficient, customer-beneficial outcomes and avoid defects.

We're hiring a Sr. Economist to help lead this effort. You'll develop the science for understanding how Amazon's pricing systems behave around our major promotional events and design mechanisms that improve long-run customer value. The role sits at the intersection of economic theory, applied econometrics, and production systems — and requires someone who can operate independently across all three.

Key job responsibilities
Own the economic modeling of how our pricing systems behave during our major promotional events — characterizing when our automated decisions produce efficient outcomes versus persistent defects, and designing mechanisms to correct the latter

Develop econometric identification strategies for measuring the impact of pricing defects and the value of proposed corrections

Deliver high-stakes analyses connecting pricing to customer trust and long-run business outcomes at VP+ level

Translate economic models into system-level requirements that engineering teams can implement as automated safeguards

Serve as cross-team advisor to partner teams in Demand Science, Finance, and Product

About the team
P2OS is a 12-person team of applied scientists and economists within WW Pricing & Promotions. We own the science behind Amazon's retail pricing decisions — optimization, demand estimation, price prediction, and error detection. The team values rigorous identification, clean problem framing, and work that changes how systems behave. You'll join a team that includes a Principal Economist, senior applied scientists, and dedicated experimentation leads — with direct access to pricing leadership. - PhD in economics or equivalent - Experience in analytics and applied economics
- Experience in developing and executing an analytic vision to solve business-relevant problems
- Experience in building statistical models using R, Python, STATA, or a related software
- Experience in industry, consulting, government or academic research
- Experience with ML-adjacent causal methods (Double ML, causal forests, CATE estimation) and background in customer behavior modeling, LTV estimation, or long-run treatment effect estimation

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.

USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually