Elizabeth Glenn

Sr Data Scientist - Retail Testing INTL

Seattle, Washington, United States
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Summary

👤
Senior
🎓
Top School
Elizabeth Glenn is a senior data scientist with 11 years of experience blending academic rigor from a PhD in Psychology and postdoctoral neuroscience work with applied experimentation and causal inference in industry. She builds statistical methodology and data pipelines in Python and SQL to drive international retail testing, pricing, and personalization decisions at scale, currently shaping Starbucks' Retail Testing strategy. Her background in behavioral pharmacology and hands-on neurotech (optogenetics, in vivo electrophysiology) gives her a unique edge in modeling complex human behaviors and translating noisy experimental signals into actionable insights. She has led cross-functional teams, delivered multi-million-dollar pricing impact, and built experimentation platforms at fintech and consumer companies. Based in Seattle, she pairs deep domain knowledge in behavioral science with practical engineering for reproducible, stakeholder-facing analytics.
code11 years of coding experience
job12 years of employment as a software developer
bookBachelor of Science (BS), Psychology, Bachelor of Science (BS), Psychology at Appalachian State University
bookDoctor of Philosophy (Ph.D.), Psychology, Doctor of Philosophy (Ph.D.), Psychology at University of Toronto
bookMaster of Arts (MA), Experimental Psychology, Master of Arts (MA), Experimental Psychology at Wake Forest University
languagesEnglish
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Github Skills (2)

causal3
python2

Programming languages (2)

JavaScriptPython

Github contributions (5)

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elizabethguy86/Resume

Sep 2018 - Jan 2025

Contributions:7 pushes, 1 branch in 6 years 5 months
Contributions:223 commits, 195 pushes, 1 branch in 4 years 1 month
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