One key to hiring your next data scientist

For years we've been told that data science is the future; that artificial intelligence (AI) and machine learning (ML) will enable us to automate everything. And yet most (85%) data science projects fail, according to a 2019 report, though such scare statistics might not reflect reality. Still, there are plenty of reasons why a data science project might not work as advertised, but one reason stands out: Talent. Or, rather, the lack thereof, as Gartner has highlighted. If you're thinking, "Well, I'll just send my recruiters to LinkedIn to scour for talent," I have news for you: It's not going to work.