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.
%0 Journal Article
%1 ProvostEtAl14
%A Provost, F.
%A Webb, G. I.
%A Bekkerman, R.
%A Etzioni, O.
%A Fayyad, U.
%A Perlich, C.
%D 2014
%J Big Data
%K Big Data
%N 3
%P 117-128
%T A Data Scientist's Guide to Start-Ups
%U http://dx.doi.org/10.1089/big.2014.0031
%V 2
%X 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.
@article{ProvostEtAl14,
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.},
added-at = {2016-03-20T05:42:04.000+0100},
author = {Provost, F. and Webb, G. I. and Bekkerman, R. and Etzioni, O. and Fayyad, U. and Perlich, C.},
biburl = {https://www.bibsonomy.org/bibtex/2a8ae97b9046c39336c78dbaaa684d4c2/giwebb},
interhash = {3e7b97fb77e03958f139bbdef505e255},
intrahash = {a8ae97b9046c39336c78dbaaa684d4c2},
journal = {Big Data},
keywords = {Big Data},
number = 3,
pages = {117-128},
timestamp = {2016-03-20T05:42:04.000+0100},
title = {A Data Scientist's Guide to Start-Ups},
url = {http://dx.doi.org/10.1089/big.2014.0031},
volume = 2,
year = 2014
}