Summary
Jacob Miller is a Data Science Manager at Meta with a decade of experience applying mathematics and optimization to drive predictive modeling and business impact. He progressed from research and teaching roles through senior data science positions at Allstate to leadership at Meta, delivering production-ready models and pipelines on large (hundreds of GB) datasets. Jacob combines deep theoretical training (PhD/MS in Mathematics) with practical skills in Python, R, Spark, and H2O, and has a track record of building scoring pipelines that saved millions and enabling actuaries to work at scale. He mentors and hires technical talent, having managed interns and served on interviewing teams, and retains a research curiosity—especially around computational topology and metric learning—informing novel modeling approaches. Based in Sacramento, he blends rigorous academic thinking with product-oriented execution to turn complex data into measurable business value.
10 years of coding experience
10 years of employment as a software developer
Master of Science (MA), Mathematics, Master of Science (MA), Mathematics at University of California, Davis
University of California San Diego