It’s good to be a data scientist these days: The vast majority surveyed said they are either “happy” or “very happy” at work. They’re also in high demand, with most getting contacted at least once a month for new job opportunities, according to a recent survey from CrowdFlower. However, the resulting “2017 Data Scientist Report” reveals that there is considerable room for improvement.
For example, data scientists would prefer to spend their workdays building and modeling data and mining it for patterns. Instead, they spend the majority of their time on what they prefer to do the least: labeling, cleaning and organizing data. And they also indicated that a lack of access to good training data remains the biggest bottleneck for artificial intelligence (AI) and machine learning projects. (The term “training data” refers to labeled and/or structured data sets that are used to train algorithms to better process subsequent unlabeled or unstructured data sets.)
Author: Dennis McCafferty