Data Scientist , Reactive Transfers
Core
Develop sophisticated machine learning algorithms and models to automate and optimize Amazon's global inventory management, supply chain planning, and fulfillment logistics under uncertainty.
Role type
Senior IC data scientist (supply chain optimization)
Builds
Automated large-scale inventory and supply chain planning systems, predictive models for shipment optimization, and self-learning systems for inventory investment decisions.
Domain
E-commerce, Supply Chain, Logistics, Machine Learning
Deliverable
production ML models
Required skills
Machine learning/statistical modeling, SQL, Python, R, data analysis, mathematical modeling, outlier detection, research paper publication, mentoring researchers
Preferred skills
Ph.D. in STEM, GenAI model benchmarking, cross-disciplinary project leadership, quantitative business analysis
Technologies
Python, R, SQL, Scala, SAS, Matlab, Cloud infrastructure
Responsibilities
Analyze large-scale supply chain data to identify patterns and root causes of failure; develop and test new ML methodologies and model enhancements; formalize model assumptions and create outlier definitions; communicate research insights and recommendations to business stakeholders and executives; collaborate with ML scientists and engineers to implement cutting-edge algorithms.
Seniority
Senior, hands-on IC with mentorship responsibilities