PhD Economics Intern – Reduced Form Causal Inference, Summer 2027

Amazon is hiring a PhD Economics Intern – Reduced Form Causal Inference, Summer 2027 in Seattle, United States. It pays $123k a year and Level rates it ; you can apply on Level.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
The posting mentions R, Stata and Python among its tools and skills.
Level classes it as an internship.
Amazon has 22,000+ other open roles on Level.

AI in this role

Conduct econometric analysis and causal inference research on large datasets as an Economics Intern at Amazon.

rstatapython

econometricscausal-inferencepredictive-modelingstatistical-analysis

Amazon Economics is seeking Reduced Form Causal Analysis (RFCA) Economist Interns who are passionate about applying econometric methods to solve real-world business challenges. RFCA represents the largest group of economists at Amazon, and these core econometric methods are fundamental to economic analysis across the company. In this a full-time internship (40 hours per week, with hourly compensation). You'll work with large-scale datasets to analyze causal relationships and inform strategic business decisions, gaining hands-on experience that's directly applicable to dissertation writing and future career placement.

By applying to this role, you are automatically being considered for all our available RFCA internships in 2027.

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

Basic qualifications

- 3rd year or greater PhD student in Economics or related field

Preferred qualifications

- Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software

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. 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.

Arlington, VA, USA - 122,740.00 USD Annually
Bellevue, WA, USA - 122,740.00 USD Annually
New York City, NY, USA - 134,980.00 USD Annually
Seattle, WA, USA - 122,740.00 USD Annually

How we rate this

PhD Economics Intern – Reduced Form Causal Inference, Summer 2027 at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

PhD Economics Intern – Reduced Form Causal Inference, Summer 2027 is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $123k a year.
The role is based in US, WA, Seattle.
The job was posted on September 29, 2026.
Seniority: intern.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

EconometricsCausal InferencePredictive ModelingStatistical AnalysisRStataPython

Questions you could be asked

Tell me about a project where econometrics was part of your work. What did you do?
Tell me about a project where causal inference was part of your work. What did you do?
Tell me about a project where predictive modeling was part of your work. What did you do?
Tell me about a project where statistical analysis was part of your work. What did you do?
Walk me through how you've used R in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Econometrics, Causal Inference, Predictive Modeling, Statistical Analysis, and R. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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