Data Scientist III, Supply Chain Optimization Technologies (SCOT), Inbound Planning Science
Core
Develop scientific solutions to optimize inbound fulfillment strategy, inventory placement, and product flows to maximize customer experience and minimize cost/carbon footprint.
Role type
Senior IC data scientist (supply chain optimization)
Builds
Optimization tools for network flow planning and execution systems
Domain
E-commerce / Supply Chain / Operations Research
Deliverable
production ML models | product features
Required skills
statistical modeling, optimization modeling, data scripting (SQL, Python, R), mathematical modeling
Preferred skills
data visualization, data pipeline management, team leadership
Technologies
Tableau, Quicksight, LLMs
Responsibilities
Design mathematical models for inventory placement and product flows; Develop statistical and optimization models for planning under uncertainty; Consult with business and technical stakeholders to define optimization opportunities; Communicate data-driven insights to senior stakeholders via technical and business papers; Leverage LLMs to improve explainability of optimization solutions.
Seniority
Senior, hands-on IC
