Summary
Chris Rinaldi is a Staff Data Scientist with 11 years of experience using predictive modeling, constrained optimization, and A/B testing to drive product and pricing strategy at Stitch Fix and earlier analytics work for national security and defense clients. He has led and scaled teams of data scientists, partnered with cross-functional senior stakeholders across Finance, Merchandising, Strategy, Engineering, and Product, and translated complex models into operational decision tools. At Stitch Fix he built end-to-end assortment and replenishment systems, pioneered GenAI imagery for style design, and ran high-visibility experiments that directly influenced company assorting and pricing. His background in physics, applied math, and operations research (Stanford MS) underpins a pragmatic, systems-oriented approach to turning messy data into reliable business impact. Notably, he bridges analytical rigor with product sensibility—balancing constrained optimization and creative GenAI exploration to shape tangible retail outcomes.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science Physics Applied Mathematics, Bachelor of Science Physics Applied Mathematics at Washington University in St. Louis
Master of Science Operations Research Decision and Risk Analysis, Master of Science Operations Research Decision and Risk Analysis at Stanford University