Summary
Jonathan Elliott is a Director of Data Science with 14 years of experience building ML and analytics teams from the ground up and driving data-informed decisions at consumer-facing companies. He has led large organizations (35+ engineers and scientists) and shaped billion-dollar content allocation through applied ML and causal analytics at Netflix, Hulu, and HBO Max, and now builds StubHub’s data science practice for large-scale consumer data. Trained as a physicist with a PhD and early research in gamma-ray bursts, he combines rigorous statistical thinking with production-grade engineering—having built AWS-backed microservices and search systems during an academic-to-industry transition. Jonathan pairs technical depth with executive training (Executive MBA, UCLA Anderson) to translate models into measurable business impact and to scale teams rapidly in fast-growth settings. An analytical leader who still codes, he is equally comfortable designing experiments, deploying models, and setting strategy across product, content, and marketing domains.
13 years of coding experience
9 years of employment as a software developer
Executive MBA, Executive MBA at UCLA Anderson School of Management
Doctor of Philosophy (Ph.D.), Natural Sciences, Magna Cum Laude, Doctor of Philosophy (Ph.D.), Natural Sciences, Magna Cum Laude at Technische Universität München
Master's of Physics, Physics, 1st Class, Master's of Physics, Physics, 1st Class at University of Warwick
Chinese, German, Italian