[nickdavidhaynes]

Call it "the kaggle effect" - once someone defines the problem and the metric you'll be graded on and gives you a relatively clean dataset, "solving the problem" is just as simple as importing xgboost and plowing away. But there is often an under-appreciation among people without much job experience how hard it is to get to that point. The OP article touched on it a bit, but really, the most difficult job a data scientist has is defining what problem they're trying to solve and getting buy-in from other business stakeholders. And frankly, no data science masters program or boot camp can teach those skills.