Summary
Xiaoxiao Wang is a Senior Data Scientist in Mountain View with 10 years of experience applying physics-grade rigor to large-scale data problems, from LHC analyses handling 10–200 TB datasets to production ML at Google. Trained as a particle physicist (Ph.D. Yale) and seasoned at CERN, she blends deep statistical modeling, distributed computing, and Python/C++ engineering to deliver robust, scalable pipelines and risk/assistant-facing ML products. At Prosper she helped architect core credit approval algorithms and led a team to build a hybrid ML/rule document-verification tool, and at Google she has driven data science work for Google Assistant and broader engineering initiatives. Known for turning complex experimental analyses into reproducible production systems, she thrives in large collaborations and on cross-functional projects that require both quantitative depth and software craftsmanship.
11 years of coding experience