My feeling is that it's the same as with trading - trading can be very profitable. Same goes for data science. Unless you really know what you are doing, you ca

My feeling is that it's the same as with trading - trading can be very profitable. Same goes for data science. Unless you really know what you are doing, you can get very wrong, without knowing it. Both data science and trading have low entry barriers - you can easily find what appears to be opportunities or a working strategy / model. It's much harder to find something that will stand the test of time. In both disciplines you can easily get the feeling you are doing something right, while in reality you are going in a very wrong direction - finding spurious correlations, overfitting or worse. I think most of those data scientists don't really know their craft.