Sr. Economist, Pricing Science

Amazon; Seattle, Northern (WA, KY); On-site; USD 159,000 - 215,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Flexible work options

Job summary

Amazon's 1P retail pricing systems rely on rigorous economics to optimize promotions and long-term customer value. We are hiring a Sr. Economist to lead economic modeling at major events, and to design mechanisms that improve outcomes and reduce defects.

In this role you will bridge economic theory, econometrics, and production systems, operating across teams in Demand Science, Finance, and Product, with a focus on impact at VP+ levels and scalable safeguards for pricing decisions.

Qualifications

• PhD in economics or equivalent required.
• Experience in analytics and applied economics.
• Ability to develop and execute an analytic vision.
• Experience building statistical models with R, Python or STATA.
• Experience in industry, gov, consulting or academia.
• Familiarity with ML-adjacent causal methods and long-run outcome estimation.

Responsibilities

• Own economic modeling of pricing during major promotions.
• Develop econometric identification strategies to measure impact.
• Deliver analyses linking pricing to customer trust and long-run outcomes.
• Translate models into system-wide requirements for engineering safeguards.
• Collaborate with Demand Science, Finance, and Product teams.

Skills

Analytics

Applied economics

ML-adj causal methods

Economic modeling

LTV estimation

Customer behavior modeling

Education

PhD in economics

Tools

R

Python

STATA

Job description

ID lavoro: 10414297 | Amazon.com Services LLC

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 .

Qualifiche Preferenziali

• - 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