Ben Kite is a data science and machine learning leader with nine years of experience building AI-driven products and MLOps capabilities, now directing Data Science & ML at H&R Block. With a Ph.D. in Quantitative Psychology, he blends rigorous experimental design and hypothesis testing with practical software engineering—co-authoring an R package and developing custom Python packages for production use. Ben has a track record of translating ML into measurable business impact, from boosting marketing lift and refining a $2B pricing plan to creating an AI tax-review tool that flagged errors in thousands of competitor-prepared returns. He leads cross-functional teams to deploy enterprise MLOps frameworks and holds multiple patents in ML applications, reflecting both invention and delivery. Based in Lawrence, Kansas, he balances research instincts with product-minded execution, often surfacing nonobvious insights about user behavior that improve client experiences.
9 years of coding experience
10 years of employment as a software developer
University of Kansas
Master of Science (M.S.) Experimental Psychology, Master of Science (M.S.) Experimental Psychology at Old Dominion University
Contributions:34 commits, 31 pushes, 1 branch in 1 year 1 month
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Ben Kite - Director Of Data Science And Machine Learning