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Data Scientist Shortage: Split Role In Half Information Week, December 12 


 Amidst increasing signs that it is getting more difficult to find talent for the nearly two million Big Data jobs that will be created in the U.S. by 2015, some employers are opting to split Big Data duties into two job responsibilities: data management specialist and data scientist. This division of labor will help IT organizations meet all of their Big Data needs, at least in the short-term, at a time when advanced analytic capabilities are in high demand and hard to find.

According to some IT industry experts, the era of the data scientist's "secret domain" is rapidly coming to an end, as organizations try new approaches to manage ever-growing volumes of unstructured information from a variety of sources. For IT organizations and providers, this means that IT departments will be called upon more and more to handle the data management phase in order to offload this effort from that scarce data scientist resource. This shift will be the result of concentrating the scientists' focus on the analytics, visualization and actual business absorption of the analytical results.

By 2016, two-thirds of the mobile workforce will own a smart phone, and global consumers will buy more than 1.6 billion smart mobile devices. Those devices, combined with a dramatic increase in machine-to-machine transactions, will mean greater responsibilities for IT staff. In 2013, we'll see greater awareness from IT professionals that they're going to be called upon to be the information stewards in the big data process. The staffing shortages are increasingly easy to spot, with more startups than ever before posting notices for data scientist roles. Although more business schools are offering analytics courses to provide university graduates with a basic set of data science skills, a looming talent shortage is inevitable. Going forward, data professionals are going to be sought after for their ability to deliver competitive advantage to companies.

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