Sarah Cox

Sarah Cox joined Keystone in 2026 as a Staff Data Scientist within the Advanced Technology Solutions practice, bringing over a decade of experience across data science, blockchain analytics, and emerging technology. Sarah began her career in data science at Penguin Random House and Lowe's Companies, where she developed expertise in machine learning, NLP, and translating complex data into business decisions across large, traditional enterprises. She then moved into the cryptocurrency and blockchain ecosystem, holding data science roles at Coinbase and Kraken (two of the largest centralized cryptocurrency exchanges) and subsequently at Mysten Labs and Baton Corporation (blockchain infrastructure and consumer cryptocurrency). Across these roles, she built deep specialization in on-chain data analysis, network graph modeling, product experimentation, and the design of measurement frameworks for novel digital markets. She has also contributed to basketball analytics work with the Minnesota Timberwolves. Sarah has presented research at the Joint Statistical Meetings (JSM) and her technical work spans machine learning, causal inference, NLP, and large-scale data pipeline engineering across both traditional and decentralized data environments.

Outside of work, Sarah is an avid weightlifter and boutique fitness enthusiast, a skier, and casually explores the world of fashion technology.

Education

• M.S. in Applied Statistics for Social Science Research from New York University
• B.S. in Mathematics and Economics from Tulane University