Summary
Shiying Chen is a Senior Data & Machine Learning professional with 10 years of experience building scalable analytics and supply chain intelligence, currently leading Supply Chain Data at Bloomberg after a decade of driving ML and GenAI initiatives as Lead Principal Data Scientist at iCIMS. She combines deep statistical rigor (MS in Statistics) with practical big-data engineering—Python, R, SQL, PySpark, AWS—and a track record of deploying production models, evaluation frameworks, and patented AI innovations. Skilled at translating complex analytical solutions into clear business impact, she designs ethical, transparent models and has led end-to-end pipelines from feature engineering to deployment. Equally at ease mentoring teams or presenting to senior leaders, she also brings roots in experimental and biostatistical research from Rutgers, reflecting a rare blend of domain depth and product-focused delivery.
10 years of coding experience
11 years of employment as a software developer
Master Statistics, Master Statistics at Rutgers University–New Brunswick
Bachelor of management, Bachelor of management at East China University of Science and Technology
Chinese, English