Economist, Amazon Devices Demand Planning

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 a 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 to Amazon tools Then this could be the role for you!

The Decision Science team owns demand estimates and pricing recommendations of concept devices before customers know they exist. We support analyses on hardware and services ranging from Echo Frames to Kindle Paperwhite to Blink Video Camera subscriptions to the Amazon Smart Plug - all prior to this role you will develop science for high visible senior leadership decisions on new devices and services and work with a cross-functional team to apply and scale innovative science broadly.



Key job responsibilities
- 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 routinesincluding GMM estimation contraction mappings and simulation-based inversionto solve structural demand systems at scale in Python.
- Develop and validate instrumental variables 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 outputssuch as willingness-to-pay and competitive diversion ratiosinto actionable pricing and portfolio strategies.
- Advance the teams 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 SAS
- Experience in prediction and forecasting in a research or industrial environment
- Experience with handling of 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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 CA San Jose - 157300.00 - 212800.00 USD annually
USA WA Seattle - 136000.00 - 184000.00 USD annually