Hacker News new | ask | show | jobs
by grayclhn 4217 days ago
You are seriously underestimating the importance of deep statistical knowledge in some of these jobs.

In the example, the candidate wasn't grilled on the default partition scheme; he or she was grilled on the partition scheme that was used. If someone thinks that's an unimportant implementation detail, why would you ever want to hire them?

1 comments

You are seriously underestimating the importance of deep statistical knowledge in some of these jobs.

In some of these jobs, maybe. But the person I was initially responding to wasn't looking for someone with "deep statistical knowledge"; rather, he was looking for that species which goes by the trendy, loosey-goosey catch-all moniker, "data scientist".

And if you're going to put "data scientist" in a job title -- with no further qualifications -- then you had better understand that it's nearly useless as a description of anything (beyond a few colloquial definitions floating about, which there's still no real consensus on).

If on the other hand, you want an "MS/PhD background in Machine Learning and/or Statistics, or equivalent work experience" then that's fine too, of course -- just put it in the job description. It's really quite easy to do, and it will save everyone tons and tons of time (and grief).

In the example, the candidate wasn't grilled on the default partition scheme; he or she was grilled on the partition scheme that was used. If someone thinks that's an unimportant implementation detail, why would you ever want to hire them?

Again, it matters to the extent that they, themselves, emphasize it as a core skill area. When someone simply says "did $foo using X" in some project description, I personally don't read anything more into it than that.

I can see why you read it that way, but that's not how I read the initial comment and it's at odds with the top-level post. I might be out of date, but I don't think quant jobs are listed as informal "data scientists;" those postings are more for what were characterized as "mundane back office jobs." (Again, I could be wrong.)

But the question's not as esoteric or impossible as you're making it out to be. "What's a confidence interval" is something any good undergraduate applying for finance jobs should be able to answer, regardless of major. I'd expect an enthusiastic undergrad stats or compsci major to care about the implementation details of an estimator they'd used for something nontrivial. (Which seemed to be the case in the original comment.)

Fair enough, and points taken. Thanks.