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Economist

Job ID: 1765783 | Amazon.com Services LLC

DESCRIPTION

Job summary
Come help revolutionize the online shopping experience for millions of Amazon customers worldwide! Amazon’s Latency and Performance team focuses on delivering software solutions that keep the Amazon customer experience fast, responsive, and frustration-free for our customers. We aim to delight customers as they find, evaluate and purchase products, tailoring the experience across PCs, phones and tablets globally. We are a broad platform and experiences team, with dozens of partners contributing to deliver the best shopping experience for hundreds of millions of products. Our team uses data to better understand our customers, builds reporting products, models to explain and predict future behavior, all in order to continually improve the latency and performance of the shopping experience.

We’re looking for a passionate, talented, and experienced Economist to understand our customers and design the future products and services that will ensure a fast and performant shopping experience.

Key job responsibilities
Using Amazon’s large-scale computing resources, you will ask research questions about customer behavior, build models to generate recommendations, and work with engineers to implement these models to run the retail website. You will apply economic theory to solve challenging business problems in a fast moving environment using world-class data and data systems. You will have an enormous opportunity to make an impact on the design, architecture, and implementation of cutting edge products used every day by people you know. Economists at Amazon are expected to develop new techniques to obtain insights from large data sets, address quantitative problems, and contribute to the design of automated systems.

About the team
Our team is a multi-disciplinary team and you will work with product, economists, applied scientists and software engineers to apply econometrics on a massive scale.

BASIC QUALIFICATIONS

· PhD in Economics or closely related field

PREFERRED QUALIFICATIONS

· Experience with Python/Spark
· Familiarity with SQL
· Familiarity with UNIX
· Experience working with large data sets
· Knowledge of econometrics
· Familiarity with Stata/Python
· 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.