4. START FISHING FOR PH.Ds
Software developers are critical to the Big Data team. But the real magic comes from those with advanced training in experimental design, statistics, and machine learning, McKinsey & Company partner Homayoun Hatami said. They will design the algorithms that turn data into executable actions and key metrics into predictive models, Mathew said. One hot spot for these data magicians is Wall Street. “The banking industry was one of the first industries to realize the benefits of Big Data and data science, [and became] a breeding ground for the skill set required for both the technology skills and the quantitative analysis skills needed to analyze and understand both data trends and business impact,” DataSift’s Barker said.
These Ph.Ds. can also be found in tech startups, government agencies, defense contractors, aerospace, oil exploration, and universities, to name a few. “Anywhere that there are complicated environments being analyzed, probed, and poked you will find experts in the craft of Big Data,” said Russ Lange, founding partner of marketing consultancy CMG Partners, in an interview with CMO.com. “And you may just benefit from the cross-pollination effects of having similar problems already solved, just in a different application.”
You can also find some great Big Data talent straight out of grad school “if you can afford the training and break-in time and expense,” Lange said.