Summary
Michael Makris is a Member of Technical Staff and data scientist with a decade of experience building ML-driven product features and experimentation platforms at high-growth companies. He has led cross-functional teams at Uber to deliver matching and demand models that cut pickup ETAs by 23% and unlocked multimillion-dollar growth, and more recently built advanced experimentation tech at Statsig before joining OpenAI. Comfortable beyond a traditional DS remit, he partners with PMs, engineers, and ops through planning, design, deployment, and experimentation to ship end-to-end product improvements. His background spans structural engineering and academic research, giving him a rare blend of systems thinking, simulation expertise, and hands-on ML engineering. He also co-led a 1,000+ member global ERG at Uber, demonstrating strategic DEI leadership alongside technical delivery. Based in Seattle, he brings pragmatic product instincts and a track record of turning complex models into measurable business impact.
10 years of coding experience
15 years of employment as a software developer
Master of Building Science (MBS) Architectural and Building Sciences, Master of Building Science (MBS) Architectural and Building Sciences at University of Southern California