Intern Economics, Private Brands Intelligence

We are looking for detail-oriented organized and responsible individuals who are eager to learn how to apply their macroeconomics and forecasting skillsets to solve real world problems. The intern will work in the area of forecasting developing models to improve the success of new product launches in Private Brands.

Our PhD Economist Internship Program offers hands-on experience in applied economics supported by mentorship structured feedback and professional development. Interns work on real business and research problems building skills that prepare them for full-time economist roles at Amazon and beyond. You will learn how to build data sets and perform applied econometric analysis collaborating with economists scientists and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.

These are full-time positions at 40 hours per week with compensation being awarded on an hourly basis



About the team
The Amazon Private Brands Intelligence team applies Machine Learning Statistics and Econometrics/economics to solve high-impact business problems develop prototypes for Amazon-scale science solutions and optimize key business functions of Amazon Private Brands and other Amazon orgs. We are an interdisciplinary team using science and technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon covering areas such as pricing discovery negotiation forecasting supply chain and product selection/development.

- Knowledge of statistical software such as R Python
- Experience in econometrics (e.g. program evaluation forecasting time series panel data or high dimensional problems) economic theory and quantitative methods
- Experience that includes strong analytical skills attention to detail and effective communication abilities
- Applicants must be enrolled in at least the third year of a PhD program in Economics or a related quantitative field and not currently on the job market

- Experience in SQL

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 starting pay for this position is listed below. Final starting pay will be based on factors including experience qualifications and location. Starting Day 1 of employment Amazon offers EAP Mental Health Support Medical Advice Line 401(k) matching. Learn more about our benefits at CA San Diego - 129200.00 - 174700.00 USD annually
USA WA SEATTLE - 129200.00 - 174700.00 USD annually
USA WA Seattle - 129200.00 - 174700.00 USD annually