Zachary Smith is a data scientist with 15 years of experience specializing in experimental design and analytics to optimize onboarding funnels, currently running A/B, switchback, and synthetic control tests for earners at Uber. He combines hands-on Python work in Jupyter with large-scale data engineering using Hive, Spark, and Presto, and translates results into stakeholder-ready dashboards in Google Data Studio. Prior roles at Meta honed his operational analytics and automation skills, where he built reporting systems for global operations and reworked quality measurement flows. With a background in economics and political science, he brings a strong causal-inference mindset to product decisions and a track record of influencing senior leadership through clear, data-driven recommendations. An emphasis on end-to-end experimentation—design, implementation, analysis, and product handoff—distinguishes his pragmatic approach to improving user experiences.
14 years of coding experience
3 years of employment as a software developer
Master’s Degree, Economics, Master’s Degree, Economics at The University of Texas at Austin
Bachelor’s Degree, Political Science, Bachelor’s Degree, Political Science at SUNY Geneseo
Contributions:2 commits, 2 pushes, 1 branch in 1 day
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