Xiannong Zhang
Data Scientist @Google
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WORK HISTORY
Data Scientist @Google
US
Conducted applied research on user behavior and product performance using economic and statistical tools. Collaborated with product and engineering teams to drive decisions across core products such as Search, Gmail, and YouTube- Led data science efforts for the Search in-app notification platform, which generated million daily impressions and shaped the search behavior of X billion users. Designed and deployed a targeting infrastructure that increased notification click-through rate by over 3×. Established a data-driven framework for new notification launches, defining success and cost metrics to guide scaled deployment- Held office hours and led enablement sessions to support team adoption of the platform. Mentored junior analysts, engineers, and PMs to accelerate onboarding and deepen understanding of the product space- Conducted original research on in-app notification design and impact, resulting in two academic papers. Presented findings at the Google Data Science Summit, NABE TECH 2024, and JSM 2025- Specializing in cross-platform identity behavior, app promotion, and user communication.
EDUCATION
Dalian University of Foreign Languages
Bachelor of Arts - BA, Japanese Language and Literature
Washington University in St. Louis
Doctor of Philosophy - PhD, Economics
Asia University
Bachelor of Arts - BA, Economics
The University of Tokyo
Master of Arts - MA, Economics
ABOUT XIANNONG ZHANG
Behavioral economist turned data scientist with a focus on growth, ads, experiments, and causal inference. At Google, I work at the intersection of product and science—designing experiments, evaluating interventions, and translating user behavior into strategic decisions across products like Search, Gmail, Maps, and YouTube. I care about methods that scale, insights that stick, and questions that matter. Open to connecting—feel free to reach out to discuss product, share ideas, or just say hi.
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