Join us in the evolution of Amazons Seller business! The Selling Partner Growth 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 Applied Scientist II to identify datadriven insight and opportunities to improve our SP growth strategy and drive new seller success. As a successful applied scientist on our talented team of applied scientists and economists you will solve complex problems to identify actionable opportunities and collaborate with engineering research and business teams for future innovation. You need to have deep understanding on the business domain and have the ability to connect business with science. You are also strong in ML modeling and scientific foundation with the ability to collaborate with engineering to put models 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 (
Key job responsibilities As a Sr. Applied Scientist in the team you will: Identify opportunities to improve SP growth and translate those opportunities into science problems via principled statistical solutions (e.g. ML causal RL). Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in MLOps. Design and lead roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers. Work with our engineering partners and draw upon your experience to meet latency and other system constraints. Identify untapped highrisk technical and scientific directions and simulate new research directions that you will drive to completion and deliver. Be responsible for communicating our science innovations to the broader internal & external scientific community.
PhD or Masters degree and 4 years of CS CE ML or related field experience 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 highperformance 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.
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