The Topline Forecast Team in the Supply Chain Optimization Technologies (SCOT) is hiring Interns in Economics. We are looking for innovative, passionate, and results-oriented individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with R or Python is necessary, and experience with SQL, UNIX, and time series forecasting would be a plus.
These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to formalize problem definitions from ambiguous requirements, build econometrics models using Amazon's world-class data systems, and develop cutting-edge solutions for non-standard problems. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.
Roughly 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon.
Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation econjobs
* PhD student in Economics * Knowledge of econometrics * Familiarity with R/Python * Effective verbal and written communications skills
* Expertise in applied time series * Experience with SQL * Familiarity with UNIX * Experience working with large data sets