When I studied in graduate school, we were expected to be able to do complex matrix multiplication on a piece of paper. MATLAB, R, Stata, and other tools were not introduced to us until much later. If we’re moving into the age of AI, do these skills even still matter?
And if knowledge of Statistics is not important anymore, what skills should we, as hiring managers, look out for in the Data Science roles of the next decade?
sounds emotionally compelling, but on a practical level: not really. A statistician almost always operates in the state when the problem is known. The hiring manager is more likely to operate in the situation in which both problem and solution are unknown.
Hot take: if AI can one day replace a statistician, surely it can replace a hiring manager.
sounds emotionally compelling, but on a practical level: not really. A statistician almost always operates in the state when the problem is known. The hiring manager is more likely to operate in the situation in which both problem and solution are unknown.
and yes, I wrote all that :)