David Yang
Applied Science Manager at Amazon
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolDavid Yang is a Data Science Manager and senior applied scientist with a decade of industry experience building ML-driven systems for marketplace forecasting, fraud detection, personalization, and advertising at Amazon and Uber. He combines deep academic training (Ph.D. in Biostatistics) with hands-on engineering—deploying PySpark and TensorFlow Serving pipelines and fine-tuning BERT embeddings for query-campaign matching and ad personalization. His career spans startups to big tech, from co-founding a health-tech company that shipped mobile apps and drove measurable business impact to improving recommendation and forecasting systems at Stitch Fix and Uber. Known for practical Bayesian methods for uncertainty estimation and production-grade transfer learning, he blends statistical rigor with product-focused delivery. Based in San Francisco, he continues to lead teams that translate complex signals into scalable, revenue-driving ML products.
10 years of coding experience
19 years of employment as a software developer
B.S., Information Theory, B.S., Information Theory at Nankai UniversityeMBA, Business Analytics and Decision Making, 3.80, eMBA, Business Analytics and Decision Making, 3.80 at University of California, San Diego - Rady School of ManagementUniversity of California, Los Angeles
Chinese, English
Github Skills (3)
python4
tensorflow-model2
youtube2
Programming languages (2)
Github contributions (5)
YangDS/learn_github
Nov 2018 - Nov 2018
For try testing all kinds of git and git hub skills
Contributions:6 PRs, 25 pushes, 5 branches in 1 day
testing
YangDS/recommenders
Apr 2017 - Apr 2017
Contributions:42 pushes, 1 branch in 3 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.