Data Scientist II, Worldwide Design Engineering - Data Science
Core
Design and optimize Amazon's global fulfillment center network using data analysis, machine learning, and optimization tools to improve operational performance and throughput.
Role type
Senior IC data scientist (fulfillment network design)
Builds
Production-grade data visualization products, predictive models, and process design tools for warehouse operations
Domain
Logistics / Supply Chain / Machine Learning
Deliverable
production ML models | product features
Required skills
SQL, Python, R, statistical modeling, predictive analysis, data pipeline management, network flow prediction, AI/ML research strategy
Preferred skills
Machine learning/statistical modeling tools, confidence intervals and error measurement, industrial mechanical/electrical systems, automation and robotics
Technologies
Excel, Pivot tables, VBA, Tableau, SQL (Amazon Redshift), R, Python
Responsibilities
Analyze and model data for warehouse operational performance; lead AI/ML research strategy and roadmap; partner with engineers to translate research into production tools; manage data pipelines for process improvement; develop optimization solutions to improve facility throughput.
Seniority
Senior, hands-on IC
