The Selling Partner Fees team owns the endtoend fees experience for two million active third party sellers. We own the fee strategy fee seller experience fee accuracy and integrity fee science and analytics and we provide scalable technology to monetize all services available to thirdparty sellers.
We are looking for a Senior Economist to lead the development of economic models and tools to optimize the structure and magnitude of fees paid by >4MM of heterogeneous Sellers Worldwide. This person will work on the development of economic statistical and machine learning models to understand third party seller behaviors and enhance our fee optimization models. The ideal candidate needs to be comfortable transitioning between theoretical Economic models and empirical ones and use the combination of these models to provide guidance for fee setting.
A successful Economist in this role will enjoy dealing with ambiguous problems and working in a fastpaced and dynamic environment. The position also requires collaboration with other scientists (Economists Data Scientists) Strategy Analysts Product Managers and Software Developers.
Key job responsibilities
Design and develop theoretical and empirical models to assess the causal impact of fees on third party sellers behavior and business performance.
Lead enhancements into existing fee calculation models to maximize the long term health of the Amazon thirdparty marketplace.
Collaborate with product managers data scientists and software developers to incorporate models into production processes and influence senior leaders.
Act as ambassador of the fees scientific community.
PhD in economics or equivalent
Demonstrable experience in any of the following areas of applied economics (multiple areas preferred): reducedform causal analysis mechanism design industrial organization insurance economics dynamics and calibration methods.
Experience in analytics and applied economics
Experience in developing and executing an analytic vision to solve businessrelevant problems
Experience in industry consulting government or academic research
Experience in building statistical models using R Python STATA or a related software
Knowledge of SQL
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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143300/year in our lowest geographic market up to $247600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.