Summary
Ryan Harter is a Senior Staff Data Scientist with nine years of experience building data-driven products and analytics platforms at companies like Shopify, Mozilla, and Google. He designs experimentation frameworks, scalable telemetry systems, and executive-level analyses that help global teams sense and act on product signals. Equally comfortable in code and strategy, Ryan has a background in quantitative energy modeling and search quality experiments, bringing rigorous causal inference and production engineering to product data science. He mentors and scales teams, authors practical guidance on effective data science on his blog, and has a track record of architecting the systems teams use to analyze experiments. Based in Vermont, he blends academic rigor from a quantitative multidisciplinary degree with hands-on experience shipping measurement infrastructure at major tech companies.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.), Quantitative Finance, Economics, Mathematics, Computer Science, Bachelor of Science (B.S.), Quantitative Finance, Economics, Mathematics, Computer Science at James Madison University - College of Business
English