Christopher Hulme-lowe is a Senior Data Scientist based in Austin with six years of applied experience turning behavioral and psychometric data into actionable insights using advanced machine learning and statistical models. With a Ph.D. in Psychometrics/Quantitative Methods and an M.S. in Statistics, he blends rigorous academic training with practical experience delivering clear visualizations and novel technical applications for client-driven missions. He has taught and designed introductory statistics courses, bringing pedagogical clarity to complex analyses and psychometric test construction. At Signature Science he drives end-to-end projects—from model development and technical writing to proposal support—demonstrating both domain depth and client-facing communication skills. Known for being an unabashed data geek, he seeks roles that challenge him to tell compelling stories with data on a daily basis.
6 years of coding experience
Ph.D. Psychometrics/Quantitative Methods, Ph.D. Psychometrics/Quantitative Methods at University of Minnesota
BA Psychology Mathematics, BA Psychology Mathematics at Concordia University - St.Paul
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