Matthew Mcbee
VP Of Data Science
Johnson City, Tennessee, United States
Summary
👤
Senior🎓
Top SchoolMatthew Mcbee is a data science leader with nine years of experience bridging academic rigor and commercial impact, currently serving as VP of Data Science at SMG. He leverages a PhD-trained background in simulation, causal inference, and Bayesian methods to build production ML, causal financial-forecasting models, and next-generation text analytics powered by open-source generative AI. His career spans industry roles at Eastman and SMG and an academic tenure as an associate professor where he authored a methods book and developed R packages and Shiny apps, reflecting deep expertise in both research and deployable tooling. Matthew is as comfortable mentoring multidisciplinary teams and shaping product roadmaps as he is writing Monte Carlo simulations to detect data manipulation for clients in drug development. He favors transparency and clear translation of complex analytics into actionable business insights, often surfacing non-obvious causal links between customer feedback and revenue. Based in Johnson City, TN, he continually experiments with new AI techniques to turn research-grade methods into practical, revenue-driving solutions.
9 years of coding experience
15 years of employment as a software developer
University of GeorgiaBachelor of Science - BS, PSYCHOLOGY, Bachelor of Science - BS, PSYCHOLOGY at Tennesse Technological University
Github Skills (30)
journal8
r-package8
spss7
bootstrapping7
psychometrics7
pipeline7
python7
science6
kedro6
bayesian6
statistics6
unconf6
machine-learning6
synthetic6
psychology5
Programming languages (4)
Github contributions (5)
mcbeem/OptimalID_Equity_shiny
Mar 2022 - Dec 2024
Shiny app for exploring equity statistics related to optimal identification
Contributions:37 PRs, 74 pushes, 4 branches in 2 years 8 months
statisticsshiny-appshinyequityidentification
mcbeem/ZPDGrowthTrajectories
Jun 2017 - May 2020
Contributions:56 commits, 4 PRs, 53 pushes in 2 years 11 months
r-packagezonerstatssyntheticquantitative
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