Summary
Nathan Wieneke is a Senior Data Scientist in San Francisco with 11 years of professional experience and eight years focused on statistical modeling, experimentation, and production machine learning. He combines an economics background (BA, UC San Diego) with hands-on data science training to translate complex analyses into clear, actionable guidance for business leaders across trust & safety and consumer product domains. His recent work spans Riot Games and Nextdoor, where cross-departmental collaboration and domain knowledge were central to driving measurable product and safety outcomes. Comfortable bridging analytics, engineering, and policy, he also brings practical back-end development and technical analyst experience that helps move models into production. Less obvious: he pairs formal training from General Assembly and Metis with early policy and research internships, giving him a rare mix of quantitative rigor and stakeholder-centered communication.
11 years of coding experience
4 years of employment as a software developer
University of California San Diego
Foothill College
Mountain View
Data Science, Data Science at General Assembly
Metis
Japanese, Czech