title: A Data Scientist's Guide to Start-Ups.
abstract: In August 2013, we held a panel discussion at the KDD 2013 conference in Chicago on the subject of data science, data scientists, and start-ups. KDD is the premier conference on data science research and practice. The panel discussed the pros and cons for top-notch data scientists of the hot data science start-up scene. In this article, we first present background on our panelists. Our four panelists have unquestionable pedigrees in data science and substantial experience with start-ups from multiple perspectives (founders, employees, chief scientists, venture capitalists). For the casual reader, we next present a brief summary of the experts' opinions on eight of the issues the panel discussed. The rest of the article presents a lightly edited transcription of the entire panel discussion.
authors.affiliation: 1 NYU Stern School of Business , New York, New York.
authors.forename: Foster
authors.initials: F
authors.lastname: Provost
authors.affiliation: 2 Monash University , Clayton, Australia .
authors.forename: Geoffrey I
authors.initials: GI
authors.lastname: Webb
authors.affiliation: 3 University of Haifa (formerly of Carmel Ventures) , Haifa, Israel .
authors.forename: Ron
authors.initials: R
authors.lastname: Bekkerman
authors.affiliation: 4 CEO, Allen Institute for AI , Seattle, Washington.
authors.forename: Oren
authors.initials: O
authors.lastname: Etzioni
authors.affiliation: 5 Barclay's Bank , London, United Kingdom .|6 Oasis 500 , Amman, Jordan .|7 Open Insights , Bellevue, Washington.
authors.forename: Usama
authors.initials: U
authors.lastname: Fayyad
authors.affiliation: 8 Dstillery , New York, New York.
authors.forename: Claudia
authors.initials: C
authors.lastname: Perlich