Summary
David Relyea is a Director of Data Science with 11+ years of hands-on and leadership experience building high-performance research, engineering, and analytics teams that move ML innovations into production. With a PhD in Physics from Princeton and a background in signal and image processing, he has led teams at Target and BlackBerry to substantially improve model accuracy and training speed—once rewriting a deep learning codebase to train 10x faster and increase classification accuracy by 15x. He excels at bridging business, product, and engineering to reduce thrash, operationalize models, and create centers of excellence while promoting career growth for individual contributors into senior technical leaders. Past roles span cybersecurity, ad tech, and finance, where he shipped novel algorithms for request filtering, document extraction, and beamforming—demonstrating both research depth and production impact. Based in Seattle, he combines rigorous academic training with pragmatic product-minded execution and a consistent record of turning complex algorithms into scalable, revenue-driving systems.
11 years of coding experience
15 years of employment as a software developer
California Institute of Technology
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Princeton University