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Top data scientists weigh the advantages and disadvantages of joining the burgeoning data science startup scene. This discussion, held at the premier KDD conference, offers insights for professionals considering entrepreneurial ventures.

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Area of Science:

  • Data Science
  • Computer Science
  • Entrepreneurship

Background:

  • A panel discussion was convened at the KDD 2013 conference, focusing on the intersection of data science and startups.
  • The KDD (Knowledge Discovery and Data Mining) conference is a leading event for data science research and application.

Purpose of the Study:

  • To explore the benefits and drawbacks for highly skilled data scientists engaging with the dynamic startup ecosystem.
  • To provide insights from experienced professionals with diverse backgrounds in data science and startup ventures.

Main Methods:

  • A panel discussion format was employed, featuring four experts with significant experience in data science and startups.
  • The discussion covered various aspects of the data science startup landscape.
  • A summary of expert opinions and a lightly edited transcription of the full discussion were presented.

Main Results:

  • The panel addressed the pros and cons for elite data scientists in the startup environment.
  • Expert panelists shared perspectives from various roles including founders, employees, chief scientists, and venture capitalists.
  • Key issues relevant to data science careers in startups were discussed.

Conclusions:

  • The article offers a condensed overview of expert viewpoints for a general audience.
  • A comprehensive transcription provides detailed insights into the data science startup sector.
  • The content serves as a valuable resource for data scientists and entrepreneurs alike.