Humanizing the Data Scientist

Whether you are attempting to analyze Big Data for human or machine consumption should inform your selection of the right person do tackle the job.


Hard-science data scientists need to develop highly complex models. Since machines will consume their models, they don’t have to worry about the messy task of interpreting the data for humans.



If you want analytics for managers, however, you’re better off seeking someone with a social or medical science background, because their training focuses more on issues such as how and why. These are the data scientists who focus on drawing a story from the data, even if they must use simpler models. Actual humans need to understand the results, and you know what stinkers they can be.

See on Scoop.itData Nerd’s Corner

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