Overcoming the Data Scientist Shortage

Data scientists who can make business decisions are certainly not a dime a dozen. Today’s data professionals are tasked with driving bottom-line success for their companies by using business solutions to make actionable decisions based on customer and market insights. It takes more than a number cruncher to do that; it requires business acumen – an ability to make sense out of massive volumes of data coming from various silos.

Now consider just 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 such a large amount of new data, there is huge potential for multiple industries to dig through and extract insights. The only problem is that this has created a heavy demand for data scientists, a role that universities haven’t traditionally built curriculum around and companies haven’t necessarily heavily recruited for. Needless to say, there is a small pool of candidates to pick from.

In the video interview below, Michael Koploy, who researches business intelligence software solutions at Software Advice, talks with icrunchdata Co-Founder Todd Nevins, to discuss the increasing demand for Big Data jobs. They cover which specializations in the Big Data field, from data science to market analytics, are most sought-after, as well as how companies are circumventing the shortage of data science candidates to acquire top talent.

 Overcoming the Data Scientist Shortage

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