Summary
Jiewen Wang is a Senior Data Scientist based in San Jose, blending operations research, machine learning, and hands-on data engineering to solve real-world problems. She earned a summa cum laude BS in Applied Mathematics with Computing from UCLA and a BS in Mathematics from UC Irvine, and is pursuing a Master of Business Analytics at MIT Sloan. In roles at Waymo and Walmart Global Tech, she has built optimization models (CPLEX in Python) to auto-generate store planograms and optimize product launches, turning complex constraints into scalable, measurable outcomes. Her early experiences span data science internships across Alibaba, StubHub, Zara, and Intralinks, where she delivered predictive models, revenue optimization, and market health insights. Focused on AI research and app development, she translates research into production-ready analytics and enjoys cross-functional collaboration to drive product impact.
1 year of coding experience
5 years of employment as a software developer
Candidate for Master of Business Analytics, Operations Research Center, Business Analytics, GPA: 5.0/5.0, Candidate for Master of Business Analytics, Operations Research Center, Business Analytics, GPA: 5.0/5.0 at MIT Sloan School of Management
Bachelor of Science - BS, Applied Mathematics, Specializing in Computing, 3.986 / 4.00 summa cum laude, Bachelor of Science - BS, Applied Mathematics, Specializing in Computing, 3.986 / 4.00 summa cum laude at University of California, Los Angeles
University of California, Irvine
Chinese, English, Chinese