Intern - Economics, Catalog Experimentation and Impact Measurement - Amazon

Description This project requires predictive modeling through the application of causal - ML methods to experimental data. We have already identified potential modeling approaches based on random forests, neural nets, and LASSO regressions. This project will allow the intern to show their depth of their knowledge in this area applying these strategies in the context of catalog enrichment initiatives and showing its reliability and robustness. Key job responsibilities We expect the intern to deliver: (1) a six-pager doc describing the problem, method, results, and impact to the business, (2) transfer code to other economists who will continue to work on the project after the internship, (3) meet and interact with business stakeholders, and (4) present their work to scientists working on the impact measurement of catalog enrichment initiatives. About the team Catalog Experimentation and Impact Measurement (CEM) assesses the impact of catalog enrichment initiatives, such as enhancing titles, images, and product descriptions, through customer experiments. We aim to create an ensemble of causal machine learning models to predict the impact of planned enrichment initiatives, aiding in their prioritization and expediting the reporting process. 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) - Functional knowledge of Python and SQL Preferred Qualifications - Familiarity with Stata - Experience working with large data sets - Knowledge of econometrics 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.