Scott Spencer
Faculty, Lecturer In Applied Analytics at Columbia University in the City of New York
New York, New York, United States
Summary
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SeniorScott Spencer is a lecturer in Applied Analytics at Columbia University and a consulting Bayesian data scientist for professional sports, bringing nine years of experience turning messy data into strategic decisions. He specializes in bespoke probabilistic and generative models, Bayesian inference, and clear data visualization to make uncertainty actionable for stakeholders. Based in New York, he blends academic teaching with hands-on consulting, coaching students and teams to apply rigorous statistical methods to real-world problems. His work sits at the intersection of sports analytics and applied statistics, where he translates domain knowledge into models that inform strategy and performance. An avid writer and educator, he emphasizes explainability and communication, ensuring complex models drive operational impact beyond technical audiences.
9 years of coding experience
Stackoverflow
3,762reputation
617kreached
46answers
27questions
r
top-5%
Github Skills (86)
bayesian-data-analysis10
bayesian-methods10
bayesian-inference10
r10
stan10
r-package10
bayesian10
rstan10
bayesian-statistics10
data-visualisation10
htmlwidgets9
ggplot9
mcmc9
ide9
rstanarm9
Programming languages (9)
Github contributions (5)
ssp3nc3r/20213APAN5300K004
Jul 2021 - Nov 2021
Contributions:43 commits, 17 pushes, 1 comment in 3 months
ssp3nc3r/docs
Nov 2019 - Oct 2024
Online documentation for Stan language and platform
Contributions:12 pushes in 4 years 11 months
online-documentationstanstan-language
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