Amazon Sr Applied Scientist Product Intelligence 

United States, Washington, Seattle 

121537326

As a Senior Applied Scientist in the Product Intelligence team, you will lead the development of advanced science solutions to better represent, model, predict and understand the inter-relation between product features, price signals, and price competitiveness.Your work will leverage the latest in Deep Learning, Active Learning, and Reinforcement Learning to enhance product understanding, and develop advanced explainability capabilities and price reasoning methods for a deeper understanding of products and pricing competitiveness.You will also lead research projects to tackle pricing-related unsolved problems, mentor interns, and author academic papers to summarize your findings for external publication.We seek an experienced scientist with deep knowledge of ML, DL, RL, and GenAI. The role will also require cross-functional collaboration skills, and staying up to date with the latest advancements in Generative AI, model explainability, quantile-regression models, etc.Key job responsibilitiesImplement and deploy systems that leverage ML, DL, RL and other techniques to address some of hardest problems in the pricing space.
Lead research projects and participate in the publication of external academic papers at top conferences and journals.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- 5+ years of building machine learning models for business application experience
- 5+ years of industry or academic research experience