Economist Device Economics
Economist Device Economics
Posted on :
09-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Yearly Salary
$ 136000 - 212800
Vacancy
1 Vacancy
Posted on :
09-04-2025
Job Description
Device Economics is looking for an economist experienced in causal inference empirical industrial organization forecasting and scaled systems to work on business problems to advance critical resource allocation and pricing decisions in the Amazon Devices org. Output will be included in scaled systems to automate existing processes and to maximize business and customer objectives.
Amazon Devices designs and builds Amazon firstparty consumer electronics products to delight and engage customers. Amazon Devices represents a highly complex space with 100 products across several product categories (ereaders Kindle tablets Fire Tablets smart speakers and audio assistants Echo wifi routers eero and video doorbells and cameras Ring and Blink) for sale both online and in offline retailers in several regions. The space becomes more complex with dynamic product offering with new product launches and new marketplace launches. The Device Economics team leads in analyzing these complex marketplace dynamics to enable sciencedriven decision making in the Devices org. Device Economics achieves this by combining economic expertise with macroeconomic trends and including both in scientific applications for use by internal analysts to provide deep understanding of customer preferences. Our teams outputs inform product development decisions investments in future product categories product pricing and promotion marketing and bundling across complementary product lines. We have achieved substantial impact on the Devices business and will achieve more.
Device Economics seeks an economist adept in measuring customer preferences and behavior with proven capacity to innovate scale measurement and drive rigor.
The candidate will work with Amazon Devices science leadership to refine science roadmaps models and priorities for innovation and simplification and advance adoption of insights to influence important resource allocation and prioritization decisions. Effective communication skills (verbal and written) are required to ensure success of this collaboration. The candidate must be passionate about advancing science for business and customer impact.
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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Amazon Devices designs and builds Amazon firstparty consumer electronics products to delight and engage customers. Amazon Devices represents a highly complex space with 100 products across several product categories (ereaders Kindle tablets Fire Tablets smart speakers and audio assistants Echo wifi routers eero and video doorbells and cameras Ring and Blink) for sale both online and in offline retailers in several regions. The space becomes more complex with dynamic product offering with new product launches and new marketplace launches. The Device Economics team leads in analyzing these complex marketplace dynamics to enable sciencedriven decision making in the Devices org. Device Economics achieves this by combining economic expertise with macroeconomic trends and including both in scientific applications for use by internal analysts to provide deep understanding of customer preferences. Our teams outputs inform product development decisions investments in future product categories product pricing and promotion marketing and bundling across complementary product lines. We have achieved substantial impact on the Devices business and will achieve more.
Device Economics seeks an economist adept in measuring customer preferences and behavior with proven capacity to innovate scale measurement and drive rigor.
The candidate will work with Amazon Devices science leadership to refine science roadmaps models and priorities for innovation and simplification and advance adoption of insights to influence important resource allocation and prioritization decisions. Effective communication skills (verbal and written) are required to ensure success of this collaboration. The candidate must be passionate about advancing science for business and customer impact.
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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
