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In Head-Hunting, Big Data May Not Be Such a Big Deal

nytimes.com

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Re: In Head-Hunting, Big Data May Not Be Such a Big Deal

#11
post #3

The original article - http://mobile.nytimes.com/2013/06/20/business/in-head-huntin... Distraction free reading and without all the annoying cruft of Quartz. Fascinating use of "Big Data" to cut through the bullshit. Wonder if it will change anything. I suspect the "tough" interview plays well into a company's PR.

I doubt the interviews will be less tough, they'll just be differently tough.

After all, they're just changing the mechanism, not lowering the standard.

Re: In Head-Hunting, Big Data May Not Be Such a Big Deal

#12
post #8

I don't understand people's problem with estimating. It's a useful skill. Perhaps it would be better if the questions actually related to technology, rather than golf balls - but the principle is the same. For instance - "how many hard drives does Gmail need?" requires a rough guess of how many users Gmail has (if you're interviewing at Google, you should know it's 1e8-1e9). How much space each one takes (probably no…

The problem is, the interviewers often judge how accurate your estimation is, and not the fact that you know (the highly flawed) Drake Equation.

These estimates are completely useless in real life, because in real life nobody guesses how many drives you need for GMail, or how many gas stations there are in LA.

Re: In Head-Hunting, Big Data May Not Be Such a Big Deal

#13
post #10
post #8

I don't understand people's problem with estimating. It's a useful skill. Perhaps it would be better if the questions actually related to technology, rather than golf balls - but the principle is the same. For instance - "how many hard drives does Gmail need?" requires a rough guess of how many users Gmail has (if you're interviewing at Google, you should know it's 1e8-1e9). How much space each one takes (probably no…

They do ask those sorts of questions still, but I wouldn't call them brainteasers.

In which case this is lifted in part out of the McKinsey interview play book. A behavioural interview and a case study, with a resume review frost up. Keeping the case studies consistent across a set of interviewees for the best calibration. Making them realistic problems rather than academic exercises or quizzes means multiple paths can be taken to a variety of right answers. Laszlo and many others inside his area are ex McKinsey. (As am I)

Re: In Head-Hunting, Big Data May Not Be Such a Big Deal

#17
post #3

The original article - http://mobile.nytimes.com/2013/06/20/business/in-head-huntin... Distraction free reading and without all the annoying cruft of Quartz. Fascinating use of "Big Data" to cut through the bullshit. Wonder if it will change anything. I suspect the "tough" interview plays well into a company's PR.

Their findings wrt. formal education are interesting, too. The first time I see a big company's representative saying “test scores are worthless.”

Re: In Head-Hunting, Big Data May Not Be Such a Big Deal

#18
post #3

The original article - http://mobile.nytimes.com/2013/06/20/business/in-head-huntin... Distraction free reading and without all the annoying cruft of Quartz. Fascinating use of "Big Data" to cut through the bullshit. Wonder if it will change anything. I suspect the "tough" interview plays well into a company's PR.

>I suspect the "tough" interview plays well into a company's PR.

from: "The trick Max Levchin used to hire the best engineers at PayPal"

Levchin realized the best engineers wanted to be challenged both in their jobs and in the interview process. “We cultivated a very public culture of being incredibly hard to get in. Even though it was actually very hard to get good people to even interview, we made a point of broadcasting that it's incredibly hard to even so much as get into the door at PayPal. You have to be IQ of 190 to begin with, and then you have to be an amazing coder, and then five other requirements. The really, really smart people looked at it and said, "That's a challenge. I'm going to go interview there just to prove to these suckers that I'm better." Of course, by end of the conversation, I'm like, "Maybe you want to come get a job here because you're pretty amazing.”

http://firstround.com/article/the-trick-max-levchin-used-to-...

Re: In Head-Hunting, Big Data May Not Be Such a Big Deal

#19
post #7

When I interviewed at Google 5 years ago they weren't using those brainteasers. There are many posts online about the actual, CS-y questions that you can expect in a Google interview, I had just assumed that the mentions of brainteasers were merely urban legend.

From what I hear, the brainteasers were retired quite a while ago for engineering and technology roles, but persisted in other fields (like account management, sales, etc) for some time longer.

Re: In Head-Hunting, Big Data May Not Be Such a Big Deal

#20
post #3

The original article - http://mobile.nytimes.com/2013/06/20/business/in-head-huntin... Distraction free reading and without all the annoying cruft of Quartz. Fascinating use of "Big Data" to cut through the bullshit. Wonder if it will change anything. I suspect the "tough" interview plays well into a company's PR.

I doubt the interviews will be less tough, they'll just be differently tough. After all, they're just changing the mechanism, not lowering the standard.

and so applicants will have to figure out the new dance, which is likely to be not so useful yet again.
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