Steven Scott
Vice President And Chief Scientist at Predactiv
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolSteven Scott is a Bayesian statistician and data science leader with over two decades of experience bridging academia and industry, currently serving as Vice President and Chief Scientist at Predactiv. He specializes in Bayesian computation and MCMC methods, with deep expertise in hidden Markov models, hierarchical and mixture models, and time series forecasting applied to real-world problems. Steven has held director-level roles at Google and Capital One and was faculty at USC Marshall, demonstrating a rare blend of rigorous research and product-focused leadership. He has founded and run a consulting firm that built custom statistical software in C++, R, and Python, reflecting a hands-on approach to enabling other data scientists with practical tools. Based in the San Francisco Bay Area, he pairs PhD-level theory from Harvard with an entrepreneurial streak and experience deploying advanced probabilistic models in production settings.
8 years of coding experience
25 years of employment as a software developer
PhD Statistics, PhD Statistics at Harvard UniversityBS Mathematics Economics, BS Mathematics Economics at Texas Christian University
Stackoverflow
495reputation
19kreached
12answers
18questions
Github Skills (68)
mcmc10
monte-carlo10
markov-chain10
chain10
markov10
scalable10
crossword10
r-package10
bayesian10
probabilistic-models10
bayesian-statistics10
c-library10
modeling10
pandas9
ess9
Programming languages (9)
Github contributions (5)
cran/bsts
May 2018 - Nov 2022
:exclamation: This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series
Contributions:9 commits in 4 years 6 months
r-packagecran-rcranstructuraltime-series
cran/BoomSpikeSlab
Apr 2018 - May 2022
Contributions:8 commits in 4 years 1 month
r-packagecran-rregressioncranspike-and-slab
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