Charlie Guthrie is a data scientist and visualization engineer with 13 years of experience building measurement systems and production data pipelines for digital products and marketing teams. He has driven measurable business impact—helping Coursera achieve 187% ROI on TV campaigns, bringing 300k+ paying learners through marketing analytics, and improving learning engagement at Udemy via KPI design and experiments. At Uber he productionized a global Brand Health Tracker and introduced team-wide code review and pair programming to raise quality and collaboration. His background spans content-safety metrics at Facebook, NLP and keyword tagging at Audible, and interactive BI dashboards at The New York Times, showing a rare mix of rigorous statistical modeling and product-focused visualization. He also focuses on enabling others through documentation, onboarding, and self-serve tooling that halves downstream support needs. Based in New York, he combines academic training in data science with a pragmatic habit of turning complex measurement problems into operational systems.
13 years of coding experience
12 years of employment as a software developer
Master of Science (MSc), Data Science, Master of Science (MSc), Data Science at New York University
B.A., Mathematics, B.A., Mathematics at Dartmouth College
Contributions:9 commits, 1 push in 5 years 1 month
chartbar-chartincomingupdateslive-updates
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.