The Ledger
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The biggest mistake companies make is interviewing data scientists like software engineers
“Great question. And so, again, this is biased predominantly towards sort of tech companies, but I think the biggest one is actually interviewing them as if they were software engineers. And so, in particular, the fellows, when they graduate, the program go int…”
PhDs outperform master's graduates in data science because of research experience
“From what I've seen, yes. And I'm, clearly I'm biased, because I'm working with a bunch of PhDs, but I've also, but in speaking with a lot of hiring managers, the answer I've heard is yes. And the reason is the, that underlying skill set of, in data science, y…”
Industry data scientists must aim for 80% perfection, unlike in academia
“Your goal is to go get everything a hundred percent right and then publish, and if that takes a couple of years, then you take a couple years. Ah, in our industry, in, you know, in industry, clearly that's not gonna work. Ah, you wanna probably get to, like, 8…”
Test data science candidates on learning velocity instead of static skills
“Adjust your, if at all possible, try to think of ways to adjust your hiring process to test for how quickly they're able to kind of traverse this gap. Kind of get two data points basically and see how, how quickly they're moving along instead of just kind of t…”