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Intern - Economics, WW Returns and ReCommerce Economics & Intelligence
Bellevue, WA, USA
·
On-site
·
Full-time
·
6d ago
The Returns and Recommerce Economics & Intelligence team advances returns science to maximize efficiency in returns processes while enhancing customer experience. We bring together economists, analysts, and engineers who leverage methodologies including causal inference, structural modeling, machine learning, and data science to deliver actionable insights. Our work spans the entire returns value chain – from understanding customer behavior to optimizing recommerce strategies or warehouse operations.
We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to apply their causal inference and micro-econometrics skillsets to solve real world problems. The intern will work in Returns and Recommerce Economics developing causal models to assess impacts of programs and policies on customer returns.
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.
Basic Qualifications
- Experience in analytics and applied economics
Preferred Qualifications
- Knowledge of Python or R
- Experience working with large, complex data sets
- Experience with SQL
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Familiarity with UNIX
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, BELLEVUE - 129,200.00 - 174,700.00 USD annually
USA, WA, Bellevue - 129,200.00 - 174,700.00 USD annually
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
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Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
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Compensation
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Culture
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Career
2.3
Management
2.1
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Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
Intern
L2 · Revenue Operations L2
0 reports
$163,421
total / year
Base
$65,368
Stock
$81,711
Bonus
$16,342
$114,395
$212,447
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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