Inventory Planning and Control Laboratory (IPC Lab) runs in-production randomized controlled trials (RCTs) on Amazon’s supply chain. IPC Lab RCTs estimate the impact of supply chain policies that include how much inventory to buy, where to place inventory after it arrives in our network, and which fulfillment centers we should fulfill an order from. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Knowledge of causal inference and proficiency in python or R is esssential. 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.
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 firstname.lastname@example.org.
About the team
Inventory Planning and Control Laboratory (IPC Lab) runs in-production randomized controlled trials (RCTs) on Amazon’s supply chain. IPC Lab customers include the teams that decide how much inventory to buy, where to place inventory after it arrives in our network, and which fulfillment centers we should fulfill an order from.
- PhD student in Economics (enrolled in 3rd year or more and not currently on the job market)
- Knowledgable about causal inference
- Experience in applying Bayesian methods
- Experience with SQL
- Familiarity with UNIX
- Experience working with large data sets
- Knowledge of econometrics
- Proficiency in R or 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.