Jason Katz is a Staff AI Engineer at LinkedIn with nine years of experience applying advanced statistics and machine learning to real-world products and startups. He holds dual degrees from Brown University (BSc in Statistics and an MS in Data Science) and completed additional data science training at Harvard, combining rigorous academic grounding with production ML expertise. At LinkedIn he progressed from internships to senior and now staff engineering roles, while simultaneously consulting on Upwork and advising startups—demonstrating an ability to balance large-scale product impact with entrepreneurial engagements. His background spans research roles (including DARPA and Brown University) and quant engineering, giving him a rare mix of theoretical rigor and financial/production systems experience. Colleagues rely on him to translate complex models into deployable pipelines and to tackle high-risk, high-reward problems that push system and model boundaries. Based in New York, he’s known for seeking demanding opportunities where cutting-edge solutions drive measurable business outcomes.
9 years of coding experience
9 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at Brown University
Contributions:20 commits, 19 pushes, 1 branch in 9 months
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