Applied Scientist, Seller Growth Science

Join us in the evolution of Amazons Seller business! The Seller Growth Science organization is the growth and development engine for our Store. Partnering with business product and engineering we catalyze SP growth with comprehensive and accurate data unique insights and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources.

We are looking for a Senior Applied Scientist to lead us to identify data-driven insight and opportunities to improve our SP growth strategy and drive new seller success. As a successful applied scientist on our talented team of scientists and engineers you will solve complex problems to identify actionable opportunities and collaborate with engineering research and business teams for future innovation. You need to be a sophisticated user and builder of statistical models and put them in production to answer specific business questions. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community by working with scientists across Amazon as well as collaborating with academic researchers and publishing papers ( job responsibilities
As an Applied Scientist you will:
- Identify opportunities to improve seller partner growth and development processes and translate those opportunities into science problems via principled statistical solutions (e.g. ML causal inference).
- Collaborate with senior scientists and contribute to maintaining high standards of technical rigor and excellence in MLOps.
- Design and execute science projects to help seller partners have a delightful selling experience while creating long term value for our shoppers.
- Work with engineering partners to meet latency and other system constraints.
- Explore new technical and scientific directions under guidance and drive projects to completion and delivery.
- Communicate science innovations to the broader internal scientific community.

- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing

- Experience using Unix/Linux
- Experience in professional software development

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 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 $136000/year in our lowest geographic market up to $223400/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.