REI’s Enterprise Data Science team is seeking a Senior Operations Researcher with deep experience using Data Science and Optimization approaches to solve complicated optimization problems across the organization such as Demand Forecasting, Transportation/Last-Mile, Network Design, Simulation and Revenue Management to name just a few.

This role will analyze REI’s multi-channel supply chain end-to-end, identifying the biggest opportunities developing plans for system-wide optimization of cost, throughput, and customer experience to the benefit of our members and society.  This is a unique opportunity to have a major impact on REI’s bottom line and continued success helping people get outside while improving our environmental and social mission!

Responsibilities: 

• Provide strategic thought leadership for the subject of supply chain optimization. Significant influence into strategy and cross-team impacts 
• Engage broadly with the business and operational leaders to frame, structure, and prioritize optimization across our multi-channel retail supply chain 
• Perform large-scale statistical research, analysis, Data Science, and modeling across various phases of the Supply Chain -- from Forecasting and allocation through last-mile delivery 
• Design and deliver optimization algorithms and science-driven data products, working with colleagues to develop and deploy software as is feasible and solves critical business problems 
• Work within a close-knit team of Supply Chain Data Scientists and analysts providing mentorship, subject area expertise, learning and inspiration to the group 
• Build sophisticated simulations that will enable business leaders to make trade-off decisions given the constraints