Different Types of Data Scientists

What a great explanation of what date scientists are and what they may actually do in their careers. Such a broad amount of skill and knowledge needed when dealing with data. Amazing!

Prime Drive

The Strata division of O’Reilly Media recently published an report titled Analyzing the Analyzers, which serves as “an introspective survey of data scientists and their work” [1]. The three creators of this survey were motivated by an apparent miscommunication between data scientists (and their corresponding experience, abilities and ideas) and employers (and their corresponding needs, desires and resources). The miscommunication seems to stem from the fact that common buzzwords like “data scientist”, “data analysis”, “analytics”, and “big data” are vague and often misused or misunderstood.

In order to establish more useful and objective terminology to appropriately connect employees and employers, the authors of this study created a survey to literally analyze the analyzers. What they found is that data scientists can (roughly) be categorized by four groups;

Data Developer: Developer, Engineer

Data Researcher: Researcher, Scientist, Statistician

Data Creative: Jack of All Trades, Artist, Hacker


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