Intern - Economics

Job ID: 1099182 | Services LLC


The Amazon Promise Economics Team in Supply Chain Optimization Technologies (SCOT) is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Knowledge of econometrics, as well as of Stata, R, or Python is necessary, and experience with SQL, UNIX, and Spark would be a plus.

The Customer Promise team seeks to identify the optimal delivery option for whatever a customer wants. We believe that finding an optimal promise and living up to it consistently improves our customer experience because we increase customer's confidence and trust in Amazon as the one, best option to get what you want, when you want it.

As the Economist for Customer Promise you will be responsible for leading the research, econometric modeling, and analysis to determine the optimal customer promise. This entails developing analytic tools and economic models that take into account inventory, fulfillment center capabilities, carrier capabilities, customer preferences, and economic impacts to determine customer promise. The models you develop will drive changes in transportation and fulfillment networks to ensure we are re providing customers with the fastest delivery experience while optimizing costs. These skills will also 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. Roughly 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon. If you are interested, please send your CV to our mailing list at

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation


· PhD student in Economics (enrolled in 3rd year or more and not currently on the job market)
· Knowledge of econometrics
· Knowledge of Stata, R, or Python
· Attention to detail


· Experience with SQL
· Familiarity with UNIX
· Familiarity with Spark
· Experience working with large data sets