> Good data scientist described here seems to have unrealistic expectations at super human level of know-it-all/do-it-all. Hmm. Know-it-all/do-it-all is a use

> Good data scientist described here seems to have unrealistic expectations at super human level of know-it-all/do-it-all. Hmm. Know-it-all/do-it-all is a useful standard to strive for, though, even when, in practice, one will often fall short in one area or another. One of my personal frustrations is that I have invested heavily in trying to be well-rounded and it doesn't quite pay dividends because of how often I find myself confronted with prejudice of the form "because he's good at X, that probably means he's bad at everything else". For example, if the first impression I leave on someone is that I'm good at math, they'll often jump to the conclusion "because he's good at math, that probably means he's bad at databases". If the first impression I leave is that I know a lot about finance & economics, they'll assume "because he knows a lot about finance & economics, that probably means he can't do projects in a technical domain" and so forth.