Director, Applied Science, Stores Economics and Science

We are looking for a science leader who is able to provide structure around complex business problems work with machine learning scientists to estimate and validate their models on large scale data and who can help business and tech partners turn the results of their analysis into policies programs and actions that have a major impact on Amazons business. We are looking for creative thinkers who can combine a strong economic toolbox with a desire to learn from others and who know how to execute and deliver on big ideas.

At the senior level we expect you be able to own the development of scientific models and to manage in close collaboration with scientists and engineers the data analysis modeling and experimentation that is necessary for estimating and validating your model. You will need to work with our business partners to communicate the properties of your analysis/modeling and be able to work to incorporate their feedback and requests into your project. Experience in applied economic analysis is essential and you should be familiar with modern tools for data science and business analysis.

About the team
The Stores Economics and Science (SEAS) organization uses economics statistics and machine learning to understand and design the complex economy of Amazons network of buyers and sellers. We are an interdisciplinary team committed to use of cutting edge technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon. Our team is composed in equal parts of software engineers and scientists trained in diverse fields including ML robotics computer vision (CV) natural language processing (NLP) distributed systems and econometrics.

Our mission is to drive adoption of AI science and technology across Amazon by partnering with business teams on science-heavy problems incubating products with high AI research risk reducing friction and manual effort with AI tooling and raising the scientific bar across all teams at Amazon.

- PhD in Economics Computer Science Operations Research or highly related field (Physics Statistics Mathematics).
- Experience in industry consulting government or academic research.
- Coding ability in a scripting language such as R Python Matlab or STATA.

- Written and verbal communications skills to convey complicated process and systems to business partners and senior leadership.
- Applicants with considerably more and broader experience are also strongly encouraged.
- Strong track record in performing high-quality analysis of data at scale.

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.

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 for more information. If the country/region youre applying in isnt 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 $262500/year in our lowest geographic market up to $350000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.