Description

　　We are looking for detail-oriented, organized, and responsible 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 Python is necessary, and experience with SQL and UNIX 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 at Internet speed 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 scientist employment at Amazon. If you are interested, please send your CV to our mailing list at [email protected]. ([email protected])

　　Key job responsibilities

　　The intern will extract data, build econometric models and write technical as well as business-facing docs to solve business problems. They will collaborate with Engineers, Economists, Program Managers during the internship.

　　About the team

　　The NCRC team (Net Cost of Refunds and Concessions) finds ways to improve our Customer Initiated Return rate, Inbound and Outbound defect rate, and Recovery yield, all while improving value to the customer. We are a new team as of Q2'23. Our goal is to instigate ideation across partner teams and hone in on the biggest areas of opportunity. Our team comes from diverse career paths and collaborates to find the most impactful ways to improve our business.

　　We are open to hiring candidates to work out of one of the following locations:

　　Bellevue, WA, USA

　　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/ R/ Stata

　　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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $49.66/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. Applicants should apply via our internal or external career site.