Sr Applied Scientist, Amazon Fulfillment Tech - Science
Core
Develop production optimization, statistics, machine learning, and GenAI/LLM solutions for Amazon's Fulfillment Network to improve labor planning, pick scheduling, stow guidance, and capacity risk management.
Role type
Senior Applied Scientist (Operations Research & Optimization)
Builds
Scalable mathematical models, prototypes, simulations, and production-grade code for fulfillment operations.
Domain
Logistics, Supply Chain, Fulfillment Operations
Deliverable
production ML models
Required skills
Operations Research, Optimization, Machine Learning, Statistics, Java, C++, Python, Data Analysis, System Architecture, Experiment Design, Stakeholder Communication
Preferred skills
Leading and mentoring scientists, Translating research to production, Fulfillment/Supply Chain domain expertise
Technologies
Java, C++, Python, GenAI, LLM
Responsibilities
Design scalable mathematical models for production systems, Create prototypes and simulations for agile experimentation, Partner with software engineers to integrate solutions, Design and execute experiments to test new solutions, Build and monitor metrics to track solution performance, Collaborate with cross-functional teams to drive end-to-end solution lifecycle
Seniority
Senior, hands-on IC with mentorship responsibilities
