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 50% 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 firstname.lastname@example.org.
About the team
The Devices Economics team leads in analyzing these complex marketplace dynamics to enable science-driven decision making in the Devices org. Device Economics achieves this by combining economic expertise with macroeconomic trends, and including both in scientific applications for use by internal analysts, to provide deep understanding of customer preferences. Our team’s outputs inform product development decisions, investments in future product categories, product pricing and promotion, and bundling across complementary product lines. We have achieved substantial impact on the Devices business, and will achieve more.
Amazon devices are durable consumer goods that delight customers at purchase and over time, and exhibit complementarities across product lines and product generations. Device Economics seeks an expert in measuring customer preferences and behaviors with proven capacity to innovate, scale measurement, and mentor talent. This role has broad Devices-wide impact by advancing measurement of market dynamics, product interactions, and improving bundling, applicable across all product lines.
- PhD in Economics or closely related field
- PhD student in Economics (enrolled in 3rd year or more and not currently on the job market)
- Experience with SQL
- Familiarity with UNIX
- 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.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.