Highly specialized knowledge and skills are necessary, so there’s a gap between the supply and demand of data scientists. Everybody who’s in data science recognizes this. If you look to the US, for example, there’s a need right now for more than 150,000 data scientists. There’s also a global shortage of data science skills in Europe and Asia.
If you’re a company that really needs experts in this field, it can be very difficult because of the complexity of the data and each of the company’s specific data practices. So if you’re a data scientist, you have to be able to handle the technical and be good at communicating, and also, there’s the business aspect of the role—and that’s only at the beginning.
It’s also interesting to cite research showing that 94 percent of data scientists and graduates have gotten jobs since 2011. Ninety-four percent, so you can feel very comfortable if you’re either moving into this direction or you’re already a data scientist that you have very good job potential. This indicates how reliable a career option in data science is now but also moving into the future.
It’s a career path that runs parallel to all the digital disruption that’s on the horizon. You can see how this is evolving very quickly, capable of growing alongside the changing landscape of technological progress. If we look at this growth in data science right now, it’s also connected to other important factors. You can think about the data increase from IoT or from social data at the edge.
If we look a little bit more ahead, the US Bureau of Labor Statistics predicts that by 2026—so around six years from now—there will be 11.5 million jobs in data science and analytics.