Description

We are seeking an L5 economist to apply to help evaluate, and advance the science of, determining third-party seller fees and incentives. The working environment is collaborative and interdisciplinary. The successful candidate will:

Leverage economic methods like modeling and impact estimation to address key issues using large, real-world datasets;

Partner with PMs and BAs to identify data and define metrics evaluating business initiatives and making recommendations;

Execute from idea to implementation as an integral part of cross-functional teams;

Thrive in a highly complex and fast pacing environment.

Key job responsibilities

Build causal inference modeling to evaluate the effects of policy changes, such as fee adjustments and new fee structures, on seller behaviors and business metrics;

Analyze how sellers and key outcomes are impacted by variations in growth strategies;

Design experiments to measure pilot programs and support scaling-up effort;

Synthesize learnings from past policy changes into critical insight to help the business develop new strategies and make science-based decisions.

About the team

The Seller Fees team owns the end-to-end fees experience for third-party sellers WW. We develop monetization strategies, Economics and Science models, and software that accurately charge Sellers fees while optimizing long-term Amazon growth; thereby allowing Sellers to offer Customers outstanding selection at sharp prices. Our systems let Amazon teams launch and change fees in ways that build Seller trust, ensuring every transaction is accurately calculated and transparent.

The Fee domain includes Fee Strategy, Seller Experience, Seller Economics, ML, Data Science and Analytics, payments accuracy and integrity, and provides scalable technology to monetize Amazon’s services available to third-party sellers.

Basic Qualifications

• PhD in economics or equivalent

Preferred Qualifications

• 2+ years of industry, consulting, government, or academic research experience

• Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS

• Experience in prediction and forecasting in a research or industrial environment

• Experience with handling of large datasets

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.