Scott Nicholson
Chief Data Scientist, Accretive Health

Scott Nicholson is Chief Data Scientist at Accretive Health and has a PhD in Economics from Stanford. His team works to find innovative uses of data to help doctors make better decisions about care and to help people be more proactive about their own care. 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 econometric techniques to increase user engagement and identify economically relevant insights from the rich LinkedIn data. Before LinkedIn Scott built real-time bidding and ad selection algorithms at an online advertising startup.

Sessions

4:10pm Thursday, 09/22/2011

Data Science from the Perspective of an Applied Economist

Data
Location: Murray Hill Suite A

Scott Nicholson (Accretive Health)

Average rating:

(4.33, 3 ratings)

Economists utilize a data analysis toolkit and intuition that can be very helpful to Data Scientists. In particular, econometric methods are quite useful in disentangling correlation and causation, a use case not well-handled by standard machine learning and statistical techniques. This session will cover examples of econometric methods in action, as well as other economics-related insights. Read more.

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