Wen Zhang
Data Science, Payment Risk
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolWen Zhang is a data science leader with 10 years of experience specializing in payment risk, transaction monitoring, and trust & safety, currently leading Payment Risk data science at TikTok USDS. She has a strong track record building operational metrics, automated decisioning systems, and revenue-driving analytics—most recently delivering a warranty mapping system that achieved a 90% efficiency gain. Wen has led cross-functional teams at major platforms including ByteDance, Twitter, and Facebook, applying ML, model tuning, and pipeline automation to compliance and anti-money-laundering workflows. Trained as a statistician with an MS in Statistics and a background in computer science, she blends rigorous analytics with product-focused execution to make complex compliance processes auditable and scalable. An understated strength is translating operational pain points into simple, measurable dashboards that empower business stakeholders to act.
10 years of coding experience
12 years of employment as a software developer
Master of Science (M.S.), Statistics, Master of Science (M.S.), Statistics at The University of AkronBachelor of Engineering, Computer Science, Bachelor of Engineering, Computer Science at Nanjing University of Finance and Economics
Github Skills (3)
emr4
etl2
airflow2
Programming languages (1)
Github contributions (5)
gogowenzhang/ECG_Detector
Jan 2018 - Aug 2018
Contributions:27 commits, 68 pushes, 1 branch in 7 months
gogowenzhang/machine-learning-algorithms-python
Dec 2017 - Jan 2018
Contributions:91 commits, 105 pushes, 1 branch in 1 month
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