Government Technology

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



December 12, 2012 By

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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Comments

kalpanaceo    |    Commented December 13, 2012

Informatics Outsourcing is an Offshore Data Management service company. Data Management Service includes all types of Data Conversion, File Conversion, XML Conversion, HTML Conversion,SGML Conversion, Document Conversion,Data Entry, Data Extraction and Validation,OCR and ICR Services with affordable price. Our team to give the solution quickly and given requirements.

Frank Swafford    |    Commented January 23, 2013

Good Day, The Data Management Specialist and Data Scientist need one more position to over view the data........... Chief Imagination Office, how the data can be used in the future! Regards, Swafford

RonK    |    Commented January 23, 2013

The cutting edge question is How the massive amounts of data can be used NOW, not the future. It takes a cadre of data handling specialists with their nose to the grindstone doing the needed analysis now and not so called futuristic imaginaries!


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