Timothy Model
Staff Data Scientist
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolTimothy Model is a data science manager in the San Francisco Bay Area who builds measurement systems that link advertising to real business outcomes for TV networks, streaming platforms, and brands. With eight years of experience and a Ph.D. in political science from Indiana University, he applies rigorous causal methods and skeptical, research-driven thinking to design scalable incrementality products that have driven multimillion-dollar renewals and expansions. He has led teams through automation, reproducible pipelines, and methodological innovation—authoring a stratified matching uplift approach that halved compute time and introducing Bayesian attribution models that corrected biased campaign data. Beyond industry work, he co-led the CoronaNet Research Project, mentored dozens of volunteers, and published tools (including an R package) and peer-reviewed research that reflect his ability to translate complex methods into real-world impact.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Political Science (Quantitative Methods), Doctor of Philosophy (Ph.D.) Political Science (Quantitative Methods) at Indiana University BloomingtonB.A. Diplomacy/Global Politics; Russian, B.A. Diplomacy/Global Politics; Russian at Miami UniversityPeter the Great St.Petersburg Polytechnic University
French, Spanish, Russian, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
data-repository10
bayesian9
forecast7
linear-models6
r6
cran5
forecasting3
visual-studio2
time-series2
microsoft1
Programming languages (2)
Github contributions (5)
timothymodel/disttestr
Jan 2019 - Feb 2023
Contributions:13 pushes, 1 branch in 4 years 1 month
jimmyg1997/corona_tscs
May 2020 - Apr 2021
This is the data repository of the CoronaNet project on government responses to the COVID-19 pandemic and the data/code repository for the paper "A Retrospective Bayesian Model for Measuring Covariate Effects on Observed COVID-19 Test and Case Counts".
Contributions:226 commits in 10 months
bayesiandata-repository
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