Join us in the evolution of Amazon’s Seller business! The Selling Partner Recruitment and Success 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 an Applied Scientist II to lead us to identify data-driven insight and opportunities to improve our SP recruitment 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 (www.aboutamazon.com / research).
Key job responsibilities
As an Applied Scientist on the team, you will :
- Identify opportunities to improve SP recruitment and development process 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.
- Lead and execute 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, high-risk 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.
BASIC QUALIFICATIONS
- PhD, or Master's 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, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix / Linux
- Experience in professional software development
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