Ming E. Wang
Data Science & Analytics Leader | Building ML-Driven Products & Teams | From Models to Business Impact
- Role
- Lead Data Scientist (Tech Lead) at H&M Group
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Ming E. Wang
Enterprise data science and AI leader with nearly 20 years of experience driving revenue growth, cost optimization, and risk management across retail, e-commerce, advertising, financial services, and the public sector. Proven record of building and scaling high-performing global data science organizations, defining enterprise AI strategy, and delivering $100M+ business impact through advanced analytics, machine learning, and platform innovation.
Experience
Lead Data Scientist (Tech Lead)
Apr 2024 — Present · New York, NY, US
Leading AI and advanced analytics initiatives to transform global demand forecasting and supply planning across H&M’s retail operations. Driving the development of scalable machine learning systems and data products that improve forecasting accuracy, inventory decisions, and business performance. Partnering closely with product, engineering, and supply chain leaders to embed predictive intelligence into core planning workflows and quantify measurable financial impact.
Education
Stony Brook University
Bachelor of Science (B.S.), Applied Mathematics & Statistics
State University of New York at Stony Brook
Bachelor of Science (B.S.), Computer Science
Columbia University
Master's degree, Statistics
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