Shitao Wang
Staff Data Scientist
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolShitao Wang is a Staff Data Scientist in Seattle with 11 years of experience applying statistical rigor, experimentation design, and applied machine learning to product-facing problems. He has driven impact at scale across LinkedIn, Instacart (Ads), and Uber’s Airport & Vehicle Solutions teams, translating complex models into actionable product decisions and clear narratives for non-technical stakeholders. His background includes a Ph.D. in Ocean Modelling where he developed uncertainty quantification and Bayesian inference tools, giving him a strong foundation in probabilistic thinking and noisy-data regimes. Comfortable shipping end-to-end solutions, he combines research-grade methods (Gaussian processes, ensemble techniques) with pragmatic engineering from earlier data-product work (NLP, web app deployment). Known as an autonomous self-starter, he excels in cross-functional settings and often surfaces hidden uncertainty or sensitivity drivers that materially improve model reliability.
11 years of coding experience
10 years of employment as a software developer
Nanodegree, Machine Learning Engineer, Nanodegree, Machine Learning Engineer at UdacityBachelor's degree, Ocean Technology, Bachelor's degree, Ocean Technology at Ocean University of ChinaDoctor of Philosophy (Ph.D.), Ocean Modelling, Doctor of Philosophy (Ph.D.), Ocean Modelling at University of Miami
Chinese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (1)
kaggle7
Programming languages (1)
Github contributions (5)
Shitao/shitao.github.io
Jul 2015 - Oct 2016
Contributions:115 pushes, 3 branches in 1 year 3 months
Shitao-zz/Kaggle-House-Prices-Advanced-Regression-Techniques
Sep 2016 - Oct 2016
Udacity capstone project: Kaggle competition on house prices prediction using advanced regression techniques
Contributions:24 commits, 22 pushes, 1 branch in 8 days
kaggle
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