Intern - Economics, Fees Science
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 economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.
Key job responsibilities
Learn the details of both existing LLM frameworks and state of the art causal inference tools leveraged by the Fees Science team. Dive deep into individual business use cases within the fees team. Deliver analyses of high-impact and accuracy that marry causal techniques with natural language prompts and outputs.
A day in the life
Reading papers in the causal and LLM literature. Deploying models and programming within Unix systems and AWS tools. Designing new experiments and datasets to be run in the framework they will develop, and checking output with scientists and business stakeholders. Writing high quality documentation and code artifacts.
About the team
Our Fees Science team is a mix of economists, applied scientists, data scientists, and engineers with a 5+ year history of providing scientific solutions within the Amazon fees space. We have had excellent experiences with interns, with multiple full-time offers extended to former interns after graduating. We value diverse backgrounds, rigorous thinking, and scientists who are excited to dive deeply into data and math.
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
- 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.
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. This position will remain posted until filled. Applicants should apply via our internal or external career site.