data scientists

“Data scientists are quickly become impossible to find.”

“When mathematicians ask me how do you become a data scientist, I give them a lot of advice, but one piece of advice I have is if you interview with a business who thinks that you're an implementer and not a business person, then don't take that job.”

“Because the problem you have, you know, a lot of companies have hired these years as scientists. They take what I call as a scientific artist, and they convert them into a plumber.”

“The term sort of didn't exist a few years ago. It appeared, and now it's one of the most, ah, sought-after jobs”

“So, I think what you're looking for is not a particularly somebody with a domain background, but somebody who's proven themselves to be a good listener.”

“And so, we actually do not sell our technology as a complete replacement for data scientists. We encourage you to think of it as a huge productivity game.”

“In five to 10 years, the role, at least the role of data scientist or data engineer will largely go away, or mostly change, and it'll turn into programming systems like ours.”

“Yeah, I mean, I think, ah, like a working data scientist has to be able to code, because if they can't fish for themselves, right?”

“Data scientists are expensive, and even if you just plopped a data scientist in with a lot of these non-profits, they wouldn't know what to do with one.”

“I wouldn't hire someone that couldn't go out and be scrappy and get their hands dirty. That person doesn't belong in an early stage startup anyway.”

“To organize functionally, but what we've found is that people can learn from each other really well that the data scientists and the statistical analysts can learn from each other and that that's great, and that it really helps when people are working together…”

“So we see a data scientist as someone who contributes to product development, essentially. Someone with very specialized skills, Who helps us deliver our products into market. And so by specialized skills, I essentially mean a PhD or something very much like i…”

“But I think you can build a similar business to The type of, to the direct to developer tool businesses. There's no reason why not. I don't think that data scientists enjoy being sold to any more than developers do.”

“Most of the data scientists that are highly paid and highly educated are data janitors. Because 80% of the time, they are spending time munging data.”

“Basically my advice is not to start a startup with a data scientist. You know, focus on getting to MVP, getting some traction, generating some real data, make good decisions early on, and then hire data scientists as you scale.”

“What those people seem to want is the ability to test more ideas faster, that experimental agility some ways to sort of expose their work more out into the business. But let's package that in a way that automates or incentivizes best practices.”

“I think that's the minimum bar to be a sufficient data scientist. A, B it totally underplays the importance of software engineering, and C, that's actually just a small part of what it means to be a data scientist. I think it totally neglects things like busin…”

“So these talented people that you then hire are becoming demotivated and will actually go somewhere else just because their work is not actually adding any value to the business.”

“One of their first frustrations is, I can't find the data, right? That's like their biggest problem.”

“Because what many of the data scientists that we spoke with just said was, it's not that I don't want to behave ethically or responsibly, it's I don't want to know what that looks like. And two, I don't know what to do if something bad happens.”

“You can't hire a data scientist without a data scientist, meaning you don't even know what the hiring process is.”

“Out of the, whatever, thousands of thousands of respondents of people who use the Anaconda, less than half actually had data scientists in their title, and most people actually were learning data science to use it in their current job function.”

“So actually, you know, to get an idea, there are as many data scientists in Facebook as they are product managers, right?”

“There are not enough data scientists in the world to solve all the data problems we have.”

“Today, and this happened just in the last 12 to 18 to maybe 20, at most 24 months, data scientists are an equally like as big of a persona for us as the developer. So if you look at kind of our top line metrics around kind of awareness or Visits to neo-for-day…”

“And lastly, you know, your data scientists who, in my opinion, are kind of doing the sexiest work when making business predictions based off of data, their needs are also different.”

“I harp on observability a lot because I think it's, like, probably the most important thing a data scientist can focus on”