Analyzing the Analyzers
An Introspective Survey of Data Scientists and Their Work
Publisher: O'Reilly Media
Released: June 2013
Pages: 40

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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oreillyAnalyzing the Analyzers
 
5.0

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      5.0

      Informative and Entertaining

      By Hamideh Iraj

      from Tehran, Iran

      About Me Data Analyst

      Verified Reviewer

      Pros

      • Easy to understand
      • Entertaining
      • Story-based

      Cons

        Best Uses

        • Data Scientists
        • Managers

        Comments about oreilly Analyzing the Analyzers:

        This book is a personal positioning help for data scientists and those who want to become one. These days everybody talks about data science and data scientists but these concepts are rarely elaborated. If you are wondering whether you can become a data scientist or not or do not know what to do exactly, this is the book for you.

        This book clusters respondents to a survey based on their skills and thoughts about themselves and proposes some groups with their corresponding skills and the breadth and depth of those skills.

        I found this book easy to read, story-based and entertaining so everyone can enjoy and learn. The main problem the book arises is an easy- looking but often neglected one; as mentioned in the beginning of the book, organizations still have problems to bring data science into action and employees to respond to different and sometimes confusing expectations.

        (1 of 2 customers found this review helpful)

         
        5.0

        Helpful resource

        By Shawn H

        from Edmonton, AB

        About Me Data Businessperson

        Verified Reviewer

        Pros

        • Easy to understand
        • Well-written

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            Comments about oreilly Analyzing the Analyzers:

            Great visuals and great content.

            (1 of 2 customers found this review helpful)

             
            5.0

            I recommend it to hiring managers

            By Mario Faria

            from Seattle

            About Me Chief Data Officer

            Verified Reviewer

            Pros

            • Accurate
            • Easy to understand

            Cons

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              • Expert
              • Intermediate

              Comments about oreilly Analyzing the Analyzers:

              Finally someone had the guts to put it in writing.

              Great for people who want to better position themselves in the market.

              A must for hiring managers who are trying to create data and analytics organizations.

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