Jack Barbey is a Principal Architect specializing in identity and data-driven analytics with nine years of experience applying machine learning and big-data engineering to advertising and media measurement. He has progressed from research roles into senior data science positions at Nielsen and The Trade Desk, now leading identity architecture at MNTN to bridge probabilistic identity resolution with production-scale systems. His work includes designing neural architectures and novel assignment algorithms that improved demographic prediction, automating validation pipelines to cut hours-long processes to minutes, and productionalizing audience segmentation for TV ratings. Comfortable across Python, PySpark, PyTorch/Keras and AWS, he pairs rigorous research instincts from the Center for Data Science and Public Policy with pragmatic, revenue-impacting engineering demonstrated early in his career. Based in Missouri, he brings a blend of academic rigor and product-focused execution that consistently turns experimental models into reliable, scalable systems.
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Jack Barbey - Principal Architect, Identity at MNTN