![]() Data is no longer just an afterthought for IT to handle. But as big data (and big data storage and processing technologies such as Hadoop) began to grow and evolve, those roles evolved as well. ![]() Many data scientists began their careers as statisticians or data analysts. It’s a virtual gold mine that helps boost revenue – as long as there’s someone who digs in and unearths business insights that no one thought to look for before. That unwieldy mass of unstructured information can no longer be ignored and forgotten. Data scientists weren’t on many radars a decade ago, but their sudden popularity reflects how businesses now think about big data. And, because they straddle both the business and IT worlds, they’re highly sought-after and well-paid. ![]() ![]() They’re part mathematician, part computer scientist and part trend-spotter. Data scientists are a new breed of analytical data expert who have the technical skills to solve complex problems – and the curiosity to explore what problems need to be solved. ![]()
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