Intern - Economics, Grocery Optimization and Analytics
DESCRIPTION
We are seeking a motivated Economist intern to assist with causal inference research and analysis. The ideal candidate will have a strong foundation in econometrics, statistics, and programming (R or Python). Key responsibilities include conducting literature reviews, data cleaning and analysis, implementing causal inference methods (e.g., difference-in-differences, Synthetic Control, Double Machine Learning, regression discontinuity), and contributing to solving real business problems.
These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to apply causal inferencing techniques on real world data collaborating with economists, scientists, and business 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.
About the team
WWGS (Worldwide Grocery Stores) organization leads the innovation of Amazon’s omni-channel grocery offerings (Fresh, Whole Foods, 3P). In this space, Amazon aims to delight customers by providing broad selection, competitive prices, best-in-class delivery, convenient in-store/pickup options across regions, and an end-to-end shopping experience that makes it easy for customers to discover what they love and build complete grocery baskets. Among other things, the Marketing and E-Commerce science team within Grocery Optimization and Analytics is responsible for measuring performance of marketing efforts and other large scale strategic programs (e.g., Grocery Subscriptions) across Amazon Grocery.
BASIC QUALIFICATIONS
- PhD student in Economics (enrolled in 3rd year or more and not currently on the job market)
PREFERRED QUALIFICATIONS
- Experience with SQL
- Experience with Python
- Experience working with large data sets
- Knowledge of econometrics
- Attention to detail
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 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 $116,300/year in our lowest geographic market up to $201,000/year 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.