Applied Scientist II, SCOT OSS - Sourcing Execution & Performance
Core
Design and build systems to measure supplier capabilities, manage supply disruptions, and prioritize inbound freight for Amazon's global network using advanced machine learning and GenAI.
Role type
Applied Scientist II (Supply Chain Optimization)
Builds
Collaborative inventory planning systems, agentic GenAI workflows for vendor coaching, and production-scale algorithms for sourcing execution.
Domain
E-commerce / Supply Chain Optimization / Operations Research
Deliverable
production ML models
Required skills
Machine learning, Reinforcement learning, GenAI, Algorithms and data structures, Numerical optimization, Data mining, Parallel and distributed computing, High-performance computing, Java, C++, Python
Preferred skills
Unix/Linux, Professional software development
Technologies
Java, C++, Python, Unix/Linux
Responsibilities
Design and implement complex Science solutions for Sourcing Execution & Performance systems, Build prototypes and core production algorithms, Drive technical standards and best practices, Mentor team members on complex projects
Seniority
Mid-level, hands-on IC
