Ling Dai

Background

About Ling Dai

Senior Data Scientist with deep experience in consumer analytics, statistical modeling, and stakeholder-driven business solutions. Currently leading high-impact analytics initiatives at Circana (formerly IRI), serving top-tier CPG clients in North America. Skilled in Python, R, SQL, and experimental design, with a focus on translating complex data into actionable strategy. Educated at top-ranked U.S. institutions — earned a Master’s in Computational Social Science from the University of Chicago and a double major in Mathematics and Natural Sciences from Northwestern University, one of the top 10 national universities in the United States. Completed the university’s Integrated Science Program (ISP), a highly selective interdisciplinary honors track known for its quantitative rigor and accelerated curriculum. Relocating to Hong Kong in July 2025 and actively exploring opportunities in data science or strategy-facing roles in the region. Open to full-time, hybrid, or regional positions. Outside of work, I have a strong personal interest in mechanical watches and contemporary music culture, particularly in how tradition and innovation intersect in these domains. While these interests have not yet directly shaped my analytics work, I’m intrigued by how data can enhance our understanding of taste, heritage, and consumer behavior in culturally-driven industries.