Taylor Spooner
Sr. Data Scientist, Nike Direct Analytics, Digital Commerce
Portland, Oregon, United States
Summary
👤
Senior🎓
Top SchoolTaylor Spooner is a senior data scientist with nine years of experience building and productionizing analytics and ML solutions for Nike’s digital commerce and store teams. He combines rigorous applied statistics (M.S. from University of Michigan) with full-lifecycle engineering—data ingestion, causal inference, experimentation design, and reproducible Python tooling—to drive multi-million dollar decisions and lift. At Nike he’s led teams, designed a synthetic control method for app and dotcom product analysis now packaged as a reusable library, and served as lead analyst on an app A/B test with an expected >$40M outcome. His background includes sports analytics with the Sacramento Kings and bioinformatics research, reflecting a habit of transferring techniques across domains to uncover non-obvious signals in interaction and experience data. Based in Portland, he blends strong stakeholder communication with hands-on modeling to move insights into production.
8 years of coding experience
Master’s Degree Applied Statistics, Master’s Degree Applied Statistics at University of MichiganBachelor’s Degree Mathematics, Bachelor’s Degree Mathematics at University of Portland
Github Skills (26)
transition6
r-package6
animation5
htmlwidgets4
animated4
shiny4
datatables3
grammar3
data-visualization3
javascript3
r3
plug3
machine-learning2
scraper2
jquery2
Programming languages (4)
Github contributions (5)
spoonertaylor/SI_618
Sep 2017 - Jan 2018
Contributions:41 commits, 35 pushes, 1 branch in 4 months
spoonertaylor/Bayesian_Analysis_Project
Mar 2018 - Dec 2020
Contributions:18 pushes, 1 branch in 2 years 9 months
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