Summary
Xu Jing is a Staff Data Scientist based in San Jose with six years of experience building data-driven solutions across ads, platform integrity, and financial services. Having led data science teams at TikTok on high-stakes areas like youth protection, misinformation, and real-time data products, she combines product-minded leadership with rigorous risk and compliance awareness. At Citi she progressed through analytics and risk roles, delivering CCAR modeling and loss forecasting before moving into scalable data product design. Now at Meta Ads, she applies that blend of modeling, governance, and systems thinking to optimize ad outcomes at scale. An active contributor to open-source ML tooling, she helped integrate the challenging ANLI dataset into Facebook Research’s ParlAI framework, evidencing a hands-on ability to bridge research datasets and production platforms. Her background in public policy and international affairs informs a pragmatic, interdisciplinary approach to operationalizing complex, regulated data problems.
6 years of coding experience
12 years of employment as a software developer
Bachelor of Laws (LL.B.) International Affairs Concentrated on International Economics, Bachelor of Laws (LL.B.) International Affairs Concentrated on International Economics at Beijing Normal University
Master Public Policy and Management Concentrated on Financial Analysis and Data Management, Master Public Policy and Management Concentrated on Financial Analysis and Data Management at Carnegie Mellon University
English, Chinese