Would Splitting the Data Scientist Role into Two Positions Solve the Shortage?

One possible solution to the data scientist shortage is splitting big data duties in two: data management specialist and data scientist.

by / December 12, 2012
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A recent report released by Gartner projected that 4.4 million IT jobs will be created globally by 2015 to support Big Data, and 1.9 million of those jobs will be in the U.S.

However, it is said that there will be a major staffing shortage that necessitates a change in management structure, according to InformationWeek. "There is not enough talent in the industry," Peter Sondergaard, Gartner senior vice president and global head of research, told the news outlet. "Our public and private education systems are failing us. Therefore, only one-third of the IT jobs will be filled. Data experts will be a scarce, valuable commodity." 

One possible solution to fix this problem is splitting the role of big data scientist into two positions: data management specialist and data scientist. Despite universities offering data analytics courses, the shortage is expected to continue as job boards already fill with requests for big data experts.

"Advanced analytic capabilities are going to be in high demand and hard to find," said Steven Bulmer, Datalink technology strategist. "And that's one reason I think that big data -- and the roles that are required to manage and analyze big data -- are going to be split."

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