Applied Scientist, Stores Economics & Science (SEAS)
Core
Build and deliver state-of-the-art science and engineering solutions to improve Amazon's Stores business by lowering cost-to-serve, optimizing selection, and applying emerging machine learning.
Role type
Applied Scientist (Economics & Science)
Builds
Scalable scientific models, benchmarks, and services for supply chain and marketplace problems
Domain
Retail / Marketplace Economics / Machine Learning
Deliverable
production ML models
Required skills
machine learning, optimization, causal inference, Bayesian statistics, deep learning, algorithm design, statistical learning, mechanism design, Java, C++, Python
Preferred skills
Unix/Linux, professional software development, cross-functional project coordination
Technologies
Java, C++, Python
Responsibilities
Lead large-scale science initiatives from research to production, translate complex business problems into mathematical frameworks, design and implement large-scale algorithms for supply chain and marketplace problems, design incentive-compatible mechanisms for marketplace challenges, influence technical strategy and roadmaps, foster team growth
Seniority
Senior, hands-on IC with leadership responsibilities
