Applied Scientist, SCOT-Inbound Systems
Core
Design and implement mathematical optimization and machine learning solutions for inventory routing, replenishment, and fulfillment network modeling at Amazon scale.
Role type
Applied Scientist (Operations Research & Optimization)
Builds
Inventory routing algorithms, replenishment models, and network design solutions for Amazon's fulfillment network.
Domain
Supply Chain / Logistics / Operations Research
Deliverable
production ML models
Required skills
Mathematical optimization, machine learning, algorithms and data structures, numerical optimization, parallel and distributed computing, object-oriented design, 3P mathematical optimization software (CPLEX/Gurobi/Xpress)
Preferred skills
Publications at top-tier conferences, experimental design and statistical analysis, prototyping innovative system solutions
Technologies
Java, Python, C++, C#
Responsibilities
Design advanced optimization and ML solutions for inventory and distribution; prototype and simulate models; write production-level Java/Python code; collaborate with engineering teams; present to stakeholders; lead project plans and technical risks; mentor other scientists.
Seniority
Senior, hands-on IC
