John Stanton-geddes
Sr Manager, Marketing Analytics at HP
Burlington, Vermont, United States
Summary
👤
Senior🎓
Top SchoolJohn Stanton-geddes is a senior marketing analytics leader with 13 years of experience applying advanced statistics, causal inference, and ML operations to optimize multi-million dollar marketing investments. Currently leading a global team of data scientists at HP, he builds Bayesian media mix models and experimental frameworks that translate complex analytics into actionable budget decisions with retail partners. His background in evolutionary biology and bioinformatics (PhD-level genomics and postdoctoral research) gives him a strong foundation in rigorous experimental design, large-scale data processing, and scientific curiosity that he brings to commercial analytics. Previously he led decision science teams at Cox Automotive and product-focused data science at Dealer.com, marrying product thinking with statistical rigor. Based in Burlington, Vermont, he is comfortable operating at the intersection of people, product, and algorithms to deliver measurable business impact. Notably, his career path reflects an uncommon shift from academic genomics to applied marketing science, enabling creative cross-disciplinary solutions.
13 years of coding experience
7 years of employment as a software developer
Bachelor of Arts (B.A.), Biology, General, Bachelor of Arts (B.A.), Biology, General at Amherst CollegeUniversity of Minnesota Twin CitiesWebster Groves High School
French
Stackoverflow
1,637reputation
202kreached
29answers
12questions
r
top-5%
Github Skills (62)
r-package10
editor9
r9
microsoft9
electron9
vscode-extension9
typescript9
knitr9
jupyter-extension9
vscode9
literate-programming9
rmarkdown9
bookdown8
visual-studio8
htmlwidgets8
Programming languages (4)
Github contributions (5)
johnstantongeddes/data-science-resources
Jul 2019 - Apr 2024
Contributions:32 pushes, 1 branch in 4 years 9 months
johnstantongeddes/climate-cascade
Jun 2013 - Dec 2013
Contributions:62 commits in 5 months
awardbiodiversitydimensionsnsf
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