Is AutoML the Answer to the Data Science Skills Shortage?

While AutoML might not turn a newcomer into a virtuoso, it does lower the barrier to entry for more businesses to reap the benefits of the data age. Important data science jobs in industry aren’t being filled. Skills shortages are present in almost every large US city, as online job boards like LinkedIn and Indeed have been reporting through the past year.

And it isn’t for want of applicants. Entry level data science jobs draw dozens, even hundreds of applicants. “The data science field has an experience shortage,” explains Daniel Zhao, Senior Economist, Glassdoor, another job board. “There are plenty of recent grads who can throw a hodgepodge of models at a dataset, but there’s a serious shortage of experienced and qualified workers who have the full combination of technical skills, business expertise and domain knowledge.”

Author: Andrew Singer

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