Economist, Devices Demand Planning

Economist, Amazon Devices Demand Planning

Job :  |  Services LLC

Are you excited about using econometrics to make multi‑million dollar decisions more science and data driven? Are you interested in supporting Consumer Hardware device concepts from innovative idea inception to launch? Do you want to work on an Economics and Data Science team focused on tackling some of the hardest business questions within the Devices business at Amazon and then scaling those statistics and econometrics solutions via internal Amazon tools?

Then this could be the role for you!

• Design, estimate, and scale Berry‑Levinsohn‑Pakes (BLP) random coefficients demand models to quantify consumer heterogeneity, own‑ and cross‑price elasticities, and substitution patterns across large product markets.
• Implement and optimize numerical routines—including GMM estimation, contraction mappings, and simulation‑based inversion—to solve structural demand systems at scale in Python.
• Develop and validate instrumental variable strategies to address price endogeneity in differentiated product markets, ensuring unbiased and robust demand parameter estimates.
• Build production‑grade pipelines that ingest large‑scale observational datasets, estimate consumer preferences, and generate product‑level demand forecasts on recurring schedules.
• Collaborate with cross‑functional teams including product management, marketing, and operations to translate structural model outputs such as willingness‑to‑pay and competitive diversion ratios into actionable pricing and portfolio strategies.
• Advance the team’s structural modeling capabilities by researching and deploying extensions to classical BLP frameworks (e.g., supply‑side estimation, dynamic demand, micro‑moments) and documenting approaches in clear technical reports.

• PhD in economics or equivalent.

• 2+ years of industry, consulting, government, or academic research experience.
• Knowledge of at least one statistical software package such as R, Stata, Matlab, or SAS.
• Experience in prediction and forecasting within a research or industrial environment.
• Experience handling large datasets.

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

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 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 optional Supplemental life plans), employee assistance programs, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at (Use the "Apply for this Job" box below)..

USA, CA, San Jose: $ - $ USD annually
USA, WA, Seattle: $ - $ USD annually

Posted: June 16, 2026 (Updated 6 days ago)