Scott Nicholson

Scott Nicholson
Head of Analytics, 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

Data
Location: Murray Hill Suite A
Scott Nicholson (Poynt)
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.

Sponsors

  • Aster Data
  • EMC Greenplum
  • GE
  • Lexis Nexis
  • MarkLogic
  • Tableau Software
  • Cloudera
  • DataStax
  • Informatica
  • DataSift
  • Splunk
  • Amazon Web Services
  • Datameer
  • Impetus
  • Karmasphere
  • MapR Technologies
  • Pervasive
  • Platform Computing
  • Revolution Analytics
  • Sybase
  • Xeround
  • Media-Science
  • Platfora

Sponsorship Opportunities

For information on sponsorship opportunities at the conference, contact Susan Stewart at sstewart@oreilly.com

Press & Media

For media-related inquiries, contact Maureen Jennings at maureen@oreilly.com

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