Job ID: 10371776 | Amazon.com Services LLC
Job Overview
Economists at Amazon are expected to work directly with our senior management and scientists from other fields on key business problems faced across Amazon. We are looking for economists who can work with business partners to hone complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with engineers and scientists to estimate models and algorithms on large‑scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. We seek creative thinkers who combine a strong technical economic toolbox with a desire to learn from other disciplines and who can execute and deliver on big ideas as part of an interdisciplinary technical team.
Key Responsibilities
* Collaborate with economists, data scientists, financial managers, and business leaders to define product requirements, provide science support, and communicate feedback.
* Implement economics methods to solve specific business problems utilizing code (Python, R, Scala, etc.).
* Improve existing methodologies by developing new data sources, testing model enhancements, and fine‑tuning model parameters.
* Present data in a format that is immediately useful to answer critical business questions.
About the Team
The Perfect Order Experience (POE) Econ team serves as POE teams' trusted economics partner, enhancing business strategy and operational effectiveness across POE and Selling Partner Services (SPS) through economic analysis and insights. We focus on advancing POE's goals towards the perfect order experience vision while delivering value to broader teams where strategic alignment exists. Through rigorous analytical frameworks, we help leaders navigate complex business and operational challenges. We embrace AI to revolutionize how we work and amplify our strategic contributions.
Basic Qualifications
* PhD in economics or equivalent.
* 2+ years of industry, consulting, government, or academic research experience.
Preferred Qualifications
* Experience in implementing modern machine‑learning methods (e.g., boosted regression trees, random forests, neural networks).
* Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS.
Equal Opportunity Employer
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.
Compensation and Benefits
The base salary range for this position is $136,000.00–$184,000.00 USD annually. The Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Location: USA, WA, Seattle – $136,000.00–$184,000.00 USD annually
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