Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Analyzing the Analyzers

Analyzing the Analyzers

Harris, Harlan
Murphy, Sean
Vaisman, Marck

Paperback

DatabasesGeneral ComputersProgramming

ISBN10: 1449371760
ISBN13: 9781449371760
Publisher: Oreilly Media
Published: Jul 23 2013
Pages: 38
Weight: 0.15
Height: 0.08 Width: 6.00 Depth: 9.00
Language: English

Despite the excitement around data science, big data, and analytics, the ambiguity of these terms has led to poor communication between data scientists and organizations seeking their help. In this report, authors Harlan Harris, Sean Murphy, and Marck Vaisman examine their survey of several hundred data science practitioners in mid-2012, when they asked respondents how they viewed their skills, careers, and experiences with prospective employers. The results are striking.

Based on the survey data, the authors found that data scientists today can be clustered into four subgroups, each with a different mix of skillsets. Their purpose is to identify a new, more precise vocabulary for data science roles, teams, and career paths.

This report describes:

  • Four data scientist clusters: Data Businesspeople, Data Creatives, Data Developers, and Data Researchers
  • Cases in miscommunication between data scientists and organizations looking to hire
  • Why T-shaped data scientists have an advantage in breadth and depth of skills
  • How organizations can apply the survey results to identify, train, integrate, team up, and promote data scientists

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