As we consider what parts of the labor market thrived in 2016 and what will continue to gain momentum in 2017, it’s hard to miss the demand for data scientists: people who are, according to SAS, “part mathematician, part computer scientist, and part trend spotter” and “straddle both the business and IT worlds” to analyze complex business problems using large datasets.
In this data-dominated era, everything and everyone produces a digital paper trail. If businesses want to gain an edge, they need to be able to tap into those large, elusive data sets to make better decisions about how products are built, markets are found, clients and employees are supported, and sales are generated. Hence the need for data scientists.
Author: Rob Sentz