Amazon is committed to exceeding customer expectations. In the Returns and Recommerce organization, we seek to improve customer satisfaction with the items they buy on Amazon, provide new value for our customers, and reduce costs to drive the holistic business flywheel.
The Return and Recommerce team is looking for an Economist intern with time series forecasting skills to join our cross-domain group of economists, applied scientists, and business intelligence engineers. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets, and train and deploy time series forecasting solutions at scale. Knowledge of time-series forecasting as well as basic familiarity with either Python or R is necessary. Experience in Bayesian modelling or geospatial 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 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.
Roughly 85% of previous cohorts have converted to full time economist employment at Amazon. If you are interested, please send your CV to our mailing list at
econ-internship@amazon.com. - PhD student in Economics (enrolled in 3rd year or more and not currently on the job market)
- Experience with hierarchical, Bayesian and geospatial forecasting
- Familiarity with backtesting at scale
- Familiarity with Python or R and training in the cloud
- Attention to detail
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $55.91/hr in our lowest geographic market up to $96.63/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
