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90% of data scientists do not use neural networks. Of those who do, 90% shouldn't be, and are letting what's fun/interesting get in the way of actually producing value.

The fact of the matter is that if you're not FB/GOOG/AMAZ, the vast majority of what companies need from their data scientists actually requires very little advanced mathematics, and much more focus on rigor, reproducibility, and good deployment/engineering practices.

Agreed. But you could add "domain expertise" and "basic statistics" to that list as well.

The job you're describing may have the title of Data Scientist, but it isn't data science if it doesn't involve advanced methods.

That's a semantic battle you've lost already.

My point is that this 'data scientist' may be called one at fartapp.io, but not at Google/Microsoft/DARPA/MIT.

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