Shuang Zhou
Applied Scientist II (Amazon Search & Ranking)
United States
Summary
👤
Senior🎓
Top SchoolShuang Zhou is an Applied Scientist II at Amazon specializing in search and ranking with over a decade of experience building large-scale recommendation systems and production ML pipelines. Holding a Ph.D. in Statistics from University of Illinois Chicago, she blends rigorous statistical foundations with hands-on expertise in deep learning, XGBoost, factorization machines, and web-scale data processing using Spark and Hadoop. Her career includes progressive roles at Epsilon—where she led development of scalable recommender systems—and internships applying ML to NLP and anomaly detection at CNA and Huawei. Known for translating complex algorithms into reliable, distributed solutions, she brings both research depth and product-focused delivery to high-throughput personalization problems. Notably, she pairs strong computer science fundamentals in algorithms and system design with practical experience operationalizing models in large production environments.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at University of Illinois Chicago
English, ChineseProgramming languages (1)
Github contributions (5)
joshua924/PersonalTests
Jul 2017 - Apr 2024
do a bunch of tests for new and interesting packages
Contributions:121 pushes, 1 branch in 6 years 9 months
testinginteresting
joshua924/PredictiveAnalysis_EbayAuction
Oct 2015 - Dec 2015
Contributions:23 pushes, 1 branch in 2 months
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