Job Description

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 [email protected].

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)

Job Tags

Hourly pay, Full time, Work experience placement, Internship, Worldwide,

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