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 advertising economics and develop models to measure the incremental effect from adopting full-funnel advertising strategy for Amazon sellers.

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
As an RFCA Economist Intern, you'll specialize in econometric analysis to determine causal relationships in complex business environments. Your responsibilities include:

- Analyze large-scale datasets using advanced econometric techniques to solve complex business challenges
- Applying econometric techniques such as regression analysis, binary variable models, cross-section and panel data analysis, instrumental variables, and treatment effects estimation
- Utilizing advanced methods including differences-in-differences, propensity score matching, synthetic controls, and experimental design
- Building datasets and performing data analysis at scale
- Collaborating with economists, scientists, and business leaders to develop data-driven insights and strategic recommendations
- Tackling diverse challenges including program evaluation, elasticity estimation, customer behavior analysis, and predictive modeling that accounts for seasonality and time trends
- Build and refine comprehensive datasets for in-depth economic analysis
- Present complex analytical findings to business leaders and stakeholders

About the team
The mission of the GMAC Econ (Global Media, Advertising and Corp Dev) Stores-Ads Science team is to understand how advertising interacts with Amazon Stores and identify opportunities where Stores can enhance the use of advertising signals in decision-making and vice versa to drive long-term economic value to shoppers, sellers/vendors, and Amazon. 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 (Stata, R, or Python)
- Strong foundation in causal inference econometric methods and statistical analysis
- Strong analytical and problem-solving skills Preferred Qualifications: - Experience with SQL and Spark
- Knowledge of economic theory and structural economic models

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, Culver City - 129,200.00 - 174,700.00 USD annually
USA, WA, SEATTLE - 129,200.00 - 174,700.00 USD annually
USA, WA, Seattle - 129,200.00 - 174,700.00 USD annually