Econ Intern, SP Support Science

DESCRIPTION

We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to apply their causal inference skillsets to solve real world problems. The intern will work in the area of Selling Partner (SP) Support and develop models to measure the holistic impact of initiatives to improve SP Experience . Our PhD Economist Internship Program offers hands-on experience in applied economics, supported by mentorship, structured feedback, and professional development. Interns work on real business and research problems, building skills that prepare them for full-time economist roles at Amazon and beyond. You will learn how to build data sets and perform applied econometric analysis 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. These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. Key job responsibilities Observational causal inference on how initiatives improve SP Experience Discuss findings with scientists and refine modeling approach based on discussions. Document findings About the team The SP Support Partner Engagement Science team works to understand why Amazon's Selling Partners contact support and how to eliminate those contacts at their source. We build LLM-based root cause classification systems, causal inference frameworks that measure the impact of contact elimination programs, and ML forecasting systems that predict support demand. Our scientists work across the full lifecycle from scoping ambiguous problems to deploying production systems, collaborating with economists, engineers, and business teams.

BASIC QUALIFICATIONS

Applicants must be enrolled in at least the third year of a PhD program in Economics or a related quantitative field and not currently on the job market Proficiency in statistical programming languages (Python, R, Stata) Strong foundation in causal econometric methods and statistical analysis Strong analytical and problem-solving skills

PREFERRED QUALIFICATIONS

Observational causal inference experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits. USA, WA, Seattle - 129,200.00 - 174,700.00 USD annually