A Big Data Scientist Is Hard To Find

Hiring a perfect fit for your company is already a hard task in itself, but hiring for big data jobs – especially data scientists – presents a plethora of challenges. First, you’re basically recruiting for two roles in one: a number cruncher who can also make business decisions. Then consider how much data is at the fingertips of companies today: according to IBM, 90 percent of the world’s data was created in the last two years. With all this information waiting to be translated into actionable business decisions, there is now a huge demand for data scientists. However, as this position hasn’t been traditionally sought after on such a large scale, there is also a short supply.

A Big Data Scientist Is Hard To Find

In this video, Michael Koploy of Software Advice and icrunchdata’s Todd Nevins discuss how much big data job needs have increased in the past six months and how needs are expected to grow in the next couple of years. You’ll also learn how other companies, from startups to large enterprises, are overcoming the challenge of finding data scientists and acquiring top data professionals.

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Jessica Miller-Merrell

Jessica Miller-Merrell (@jmillermerrell) is a workplace change agent, author and consultant focused on human resources and talent acquisition living in Austin, TX. Recognized by Forbes as a top 50 social media influencer and is a global speaker. She’s the founder of Workology, a workplace HR resource and host of the Workology Podcast.

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