Do black box models in Data Analytics actually give a statistically significant solution to Data problems?
As a mathematician when I apply for jobs in data analytics companies, I am told they have about 20 black box models to operate which they need IT guys with knowledge of python language. Mathematicians can go back to being unemployed. I am not sure how these black box models give satisfying solutions to large data problems? Don’t the companies need mathematicians to interpret outputs ?