Ben Stenhaug is a data science manager specializing in causal inference with nine years of experience building high-performance, product-focused analytics teams at companies like Intuit and Realtor.com. With a PhD background from Stanford in statistical methods for survey data and an MS in Statistics, he blends rigorous academic research—dissertation work on item response model selection—with practical ML and experimental design in production settings. He has led cross-functional projects from startup product growth (co-founding a web app that reached over 200k teacher users) to public-sector analytics (allocating mental health resources via a high-precision random forest). At Intuit he progressed from Staff Data Scientist to managing a causal inference team, applying experimental and observational methods to decision-making at scale. Earlier roles at Khan Academy and Teach For America reflect a strong foundation in education, measurement, and creating actionable learning metrics. He pairs deep statistical expertise with product intuition and a track record of turning complex, messy data into deployable solutions.
9 years of coding experience
5 years of employment as a software developer
BS Statistics Mathematics and Economics, BS Statistics Mathematics and Economics at University of Wisconsin-Madison
PhD Education, PhD Education at Stanford University
Contributions:50 commits, 43 pushes in 2 years 3 months
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