In other news, Information Management's trend no. 7 in "Big Data Talent War: 10 Analytics Job Trends" revealed that Scott Sorensen, Ancestry.com's Senior VP of Engineering, is beefing up his team with data scientists. Sorensen offers his definition of a data scientist as someone "skilled in taking a statistical approach to algorithm development." He says: "Many times they're statisticians, and they understand how to create statistical models that allow you to use massive amounts of data to develop algorithms."
Of course, as with anything new, there are obstacles. "One of the challenges our industry faces is we presume access to large amounts of data also comes with a button that says 'Insights,' " says Alexandra Drane in this AllAnalytics.com slideshow featuring nine data scientists. Will the data scientist ensure insights are found through appropriate technologies and (sometimes controversial) organizational change?
I asked the following six industry experts whether they thought organizations were moving toward emerging roles like the data scientist:
- April Wilson, Digital Analytics 101
- Bill Franks, Teradata
- Dean Abbott, Abbott Analytics Inc.
- James Taylor, Decision Management Solutions
- John Elder, Elder Research
- Richard Boire, Boire Filler Group
Here's what they said:
What is your perspective on the data scientist?