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Description

We are seeking an Economist to advance the science of supporting business decisions and creating innovative solution in the third-party seller fees area. The working environment is collaborative and interdisciplinary. The successful candidate will:

Leverage scientific methods including both economic and machine learning models to address key issues using large, real-world datasets;

Partner with business partners and data engineers to identify data sources and build science-driven solutions;

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

Thrive in a highly complex and fast paced 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 exceptional selections 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

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

- Experience with handling of large datasets

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.

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.