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 familiarity with Python is necessary, and experience with SQL 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 interns from previous cohorts have converted to full time economics employment at Amazon. If you are interested, please send your CV to our mailing list at [email protected]. ([email protected])

　　Key job responsibilities

　　Use reduced-form causal analysis to evaluate the impact of policies on employee outcomes, and examine feature interventions to improve products that serve Amazonian's day-to-day work.

　　A day in the life

　　Work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, designing an experiment, writing code to implement a DID analysis, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions.

　　About the team

　　The Global Talent Management and Compensation (GTMC) Center for Applied Science and Economics (CASE) team builds, productionizes and evaluates science models supporting scalable, science-powered employee experiences across GTMC journeys. Key examples of ongoing initiatives include inspection insight models, personalized people/content recommendations, and nascent applications in Generative AI with LLMs.

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

　　Seattle, 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 working with large data sets

　　Knowledge of econometrics

　　Familiarity with 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.

　　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.