Senior Applied Scientist - Optimization, Fulfillment Planning and Execution Science - Fulfillment Optimization
Core
Design, develop, and deploy mathematical optimization models to optimize Amazon's global fulfillment planning, execution, and outbound transportation networks, ensuring orders arrive on time while reducing costs and carbon footprint.
Role type
Senior Applied Scientist (Mathematical Optimization & Supply Chain)
Builds
In-house large-scale distributed systems for real-time and mid-term network planning, order-to-fulfillment center assignment, and optimal shipping method selection.
Domain
Logistics, Supply Chain, Transportation Planning
Deliverable
production ML models | production features
Required skills
Mathematical Optimization (linear/nonlinear programming), Algorithm Design, Complexity Analysis, Java/C++/Python, Operations Research, Statistics, Technical Leadership
Preferred skills
Machine Learning for business applications, Hybrid OR/ML techniques
Technologies
Java, C++, Python
Responsibilities
Design innovative math models for complex business problems; Research and apply latest optimization techniques; Collaborate with software engineering to integrate models into production systems; Technically lead and mentor other scientists; Establish automated processes for large-scale data analysis and model validation.
Seniority
Senior, hands-on IC with mentorship responsibilities