Scott Nicholson is an experienced and versatile data professional with a diverse background in several industries. With a degree in Probability and Statistics, and a Ph.D. in Economics from Stanford University, he has worked in various roles, including Chief Data Scientist at Poynt and Accretive Health, team lead and data scientist at LinkedIn, and product manager at Adara Media. He has also taught as an instructor and teaching assistant at Stanford and worked as an Assistant Economist at the Federal Reserve Bank of New York. Nicholson has a broad range of experience in building and leading data teams, designing data infrastructures, deriving insights from data, and crafting effective data strategies. His passion for working with under-utilized data assets is evident in his work with several seed-stage startups.

Known for his ability to identify the data needed to solve business problems, Nicholson has delivered keynote speeches at several industry conferences, including Strata, Predictive Analytics World, Chief Data Scientist Summit, and eMetrics. He has also been featured in Forbes, Information Week, KDNuggets, and The Economist for his contributions to the field.

Nicholson's qualifications and background make him a valuable resource for companies in need of data-driven solutions. His experience, industry-agnostic approach, and deep understanding of data science methodologies make him a preferred advisor for several startups.