Summary
David Harris is a Staff Machine Learning Engineer with over a decade of experience applying statistical rigor and ML to drive measurable e-commerce impact, including recommendation systems that delivered a >$50M annual revenue lift and a pricing ranker that added $12M. He specializes in search and recommendation engineering, online optimization, and cold-start exploration, translating Ph.D.-level population biology and Bayesian modeling expertise into practical, production-grade solutions. At Chewy and Wayfair he led cross-functional initiatives, improved sitewide conversion, and built internal tools that accelerated stakeholder experimentation and model adoption. A mentor and hands-on leader, he blends research instincts with robust engineering (PyTorch, Elasticsearch/OpenSearch, R/Python) to ship business-critical ML at scale.
15 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Population Biology, Doctor of Philosophy (Ph.D.) Population Biology at University of California, Davis
Bachelor's degree Biology General, Bachelor's degree Biology General at Washington University in St. Louis
Zoology/Animal Biology, Zoology/Animal Biology at Michigan State University