Jake Russ

Chief Data Scientist

Cape Coral, Florida, United States
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Summary

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Senior
🎓
Top School
Jake Russ is a Chief Data Scientist with 15 years of experience translating economics and statistical theory into production-grade analytics, predictive models, and decision tools for political, corporate, and retail clients. With a PhD-level economics background and a track record leading predictive modeling, sample development, and analytics teams at Red Oak Strategic, he bridges rigorous causal inference and practical machine learning. He’s an active statistical programmer and contributor to the widely used ggplot2 ecosystem, improving documentation and visualization examples that help analysts communicate results more clearly. Prior roles span academia, public policy research, IoT analytics, and internal package development, reflecting a consistent focus on reproducible, data-driven decisionmaking. Based in Cape Coral, Florida, Jake is as comfortable building large-scale data infrastructure as he is teaching econometrics or designing information products for executives.
code15 years of coding experience
job7 years of employment as a software developer
bookMS, Economics, MS, Economics at Florida State University
bookBA, Economics, Management, BA, Economics, Management at Eckerd College
bookOglethorpe University
bookDoctor of Philosophy (Ph.D.), Economics, Doctor of Philosophy (Ph.D.), Economics at George Mason University
languagesEnglish
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Stackoverflow

Stats
673reputation
48kreached
2answers
12questions
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Github Skills (12)

data-visualizations10
data-visualization10
data-visualisation10
ggplot10
r10
apache-spark6
sparklyr6
sparkr6
dplyr6
excel6
jdbc6
hmisc6

Programming languages (4)

C++RCHTML

Github contributions (5)

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tidyverse/ggplot2

May 2011 - Nov 2021

An implementation of the Grammar of Graphics in R
Role in this project:
userData Scientist
Contributions:21 commits, 1 PR, 8 comments in 10 years 7 months
Contributions summary:Jake contributed examples and documentation to enhance the ggplot2 library, focusing on data visualization techniques. They added plots showcasing modifications to geom_bar and geom_text, demonstrating how to change aesthetics such as width, size, and the addition of annotations. The user also included examples that illustrate facet reordering within facet_wrap and facet_grid, along with examples using themes and options.
graphicrvisualisationdata-visualisation
JakeRuss/pollen-counts

May 2015 - Apr 2016

Contributions:54 pushes, 1 branch in 11 months
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