Q you very much. That was really, really, uh, interesting and fun. Um, just to drive the point home from a, a practical perspective, um, uh, as somebody at Pinterest who presumably, um, hires data scientists, um, how do you think about that? If, You know, software engineers, uh, yeah, software versus, uh, statistics in hiring decisions. I mean, I, I guess the, the talk sort of answer the question, but.
A Yeah, I mean, I think, ah, like a working data scientist has to be able to code, because if they can't, they can't fish for themselves, right? They have to go and, and wait, as, as it was previously said, ah, for someone to go hand them their beautiful data set on a silver platter, right? So if you can code, you can go off and, and grovel around in, in databases, or you can write logging code to get the data that you need. Um, like you have to be able to code, um, but you also have to have the analytical chops, right? And, like, exactly where the balance is between the two is, um, there's a wide range of possibilities. Um, I gave a whole talk about that at Strata two years ago or something like that, which you can find on YouTube, uh, if you're interested.
AI assessment note: “a working data scientist has to be able to code, because if they can't, they can't fish”