Meg Thomason
Data Scientist
San Francisco, California, United States
Summary
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SeniorMeg Thomason is a data analytics leader with a decade of product analytics and data strategy experience, currently heading Data Analytics at Halo Collar in San Francisco. She combines hands-on quantitative work with cross-functional leadership to help product teams measure impact, improve data quality, and scale analytics ecosystems. Through MEGadata, LLC, she guides early-stage startups on telemetry implementation (Amplitude/Segment), Looker enablement, AB testing, and data wrangling across diverse industries. Her track record includes building northstar metrics and data foundations at Gopuff, leading product analytics at 1Password, and advancing experimentation and Looker adoption at Spin (Ford Mobility). She earned a PhD in Ecology from UC Davis and has formal training in applying data science to product management, blending rigorous analytics with strategic product insight. Based in the SF Bay Area, she translates complex data into actionable, metrics-driven roadmaps and mentors teams to operate with entrepreneurial grit.
10 years of coding experienceGithub contributions (5)
mskaerthomason/Springboard-Capstone_bikeshare
Nov 2017 - Jun 2018
Contributions:83 pushes, 1 branch in 7 months
mskaerthomason/Springboard_mock-takehomes
Sep 2017 - Jul 2018
Contributions:62 pushes, 1 branch in 9 months
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