We are looking for an Economist to join our fast paced, start-up environment to help invent the future of product economics. We solve significant business problems in the devices and retail spaces by understanding customer behavior and developing business decision-making frameworks. You will build econometric models for causal inference and prediction, using our world class data systems, and apply economic theory to solve business problems in a fast-moving environment. This involves analyzing Amazon Devices customer behavior, and measuring and predicting the lifetime value of existing and future products. We build scalable systems to ensure that our models have broad applicability and large impact.
A day in the life
Economists closely work with our Finance stakeholders to ensure analyses are optimized for specific decision-making use cases. Economists define the specific research question based on stakeholder needs, propose methodologies, prototype models and explain their findings. For generalized solutions, we build econometric products, many of which are self-service, to continually generate value for stakeholders.
About the hiring group
We focus on guiding the business to make decisions based on causal inference metrics and providing decision-making frameworks. To ensure adoption of our work, we focus on transparency of our models. We also strive to explain heterogenous treatment effects, as average treatment effects can mask the most business relevant variation.
The Device Economics team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Advanced knowledge of causal econometrics, as well as basic familiarity with Python, R or Stata 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 at Internet speed collaborating with economists, data scientists and MBAs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.
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.
· PhD student in Economics (enrolled in 3rd year or more and not currently on the job market)
· Experience with SQL
· Experience working with large data sets
· Knowledge of econometrics
· Familiarity with Python/R/Stata
· Attention to detail