Skip to main content
Make Data Work
Oct 15–17, 2014 • New York, NY
Scott Nicholson

Scott Nicholson
Chief Data Scientist, Poynt

Website

Scott Nicholson most recently was Chief Data Scientist at Accretive Health, where his team built out data infrastructure, predictive analytics and data visualizations to help healthcare providers make better clinical and financial decisions. Before moving into the health care industry Scott was a Team Lead, Senior Data Scientist and Economist at LinkedIn where his work focused on using analytics and prototyping new data products to increase user engagement. Earlier in his career, Scott built real-time bidding and ad selection algorithms at an online advertising startup. He has a BS in Economics/Mathematics from the University of California, Santa Barbara, and an Economics PhD from Stanford.

Sessions

11:50am–12:30pm Thursday, 10/16/2014
Data Science
Location: 1D
Joseph Adler (Facebook), Hilary Mason (Cloudera Fast Forward Labs), Scott Nicholson (Poynt), Lucian Lita (Yoyo Labs), Roger Magoulas (O'Reilly Media)
Average rating: **...
(2.91, 11 ratings)
In this debate, two teams of the world's best data scientists will debate the following proposition: "If you can't code, you can't be a data scientist." Read more.
2:35pm–3:15pm Thursday, 10/16/2014
Office Hour
Location: Table E
Scott Nicholson (Poynt)
Bring Scott any data problem that’s weighing on your mind. He’ll discuss how to use econometric tools to establish causality outside of randomized testing frameworks, how to build data science teams and culture, and anything to do with data usage, privacy, and anonymization. Read more.