data science

“It's basically because if you're measured narrowly on impact and that's all anyone sees around you, then it's very hard to engage with the creative aspect of business change and the strategic aspects of business change.”

“What AI has done for us is it's massively expanded the frontier of things we could think about our problem, hypotheses we could have, maybe things we could test. It's just an astronomical explosion of explanations and ideas and principle. And I really think ac…”

“Every single thing I just said, finding potential matches, making matches, and then learning about those matches, and then, you know, cycling back again, that is the data science of marketplaces. And I feel like every marketplace that you could think of, you k…”

“In the same way that AI generates a lot of ideas, AI also generates a lot of pros. And in data science, that can actually be deadly because you're getting more explanations that sometimes maybe are extraneous, you know?”

“They were like, listen, we have all these different people throwing insights over the transom. And it's great. We want to hear from the data scientists, from the product specialists, from the customer service people and the voice of the customer, whatever, all…”

“People say the word eval is trying to kind of like carve out this new thing, and saying, you know, evals, and then A-B testing, but if you zoom out, it's the same data science as before, and I think that's what's causing the confusion is, hey, we need data sci…”

“Meanwhile, I think a lot of people going into product might be coming from design, might be coming from data science, might be coming from engineering because the ones that have judgment, the ones that can talk, the ones that want to stay current, they might b…”

“I actually think some of our strongest product staff are going to be converts from design and from data science who are just looking to expand their reach.”

“So I don't know what the future of data science looks like, but I think as a product manager, I've spent less time in the last year talking to a data scientist than I ever have in my career, even though I've probably spent 10 times more time in data and unders…”