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kansas posted:
If it doesn't have a chance of biting you in the rear end, just give it, you never know when the favor would be returned.
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Mar 5, 2013 04:58
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Scaramouche posted:Business Intelligence / Big Data Analytics Do you work for a name firm or have anything else that draws the eye on your profile?
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Oct 5, 2013 04:51
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Quarex posted:Yes as someone not in a technical field I can anecdotally tell you that following all the advice in this thread will still basically get you nowhere (passively, that is) no matter how good your profile is. Oddly no-one seems to be hunting LinkedIn for elite researchers or writers. They are, but you need technical skills too. Learn one or more of the following: R, SQL, Python.
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Dec 25, 2013 20:06
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Quarex posted:Well this advice sounds amazing, and looking into this I can totally understand why this might be helpful. Even if I manage to stay in academia I am sure this knowledge would be useful (R in particular for social sciences, I would imagine). But it is hard to imagine putting "learning a programming language" on my plate when my dissertation is already killing me. Still, worth investigating. SQL is really easy to learn, and it absolutely has tons of applications for social science research. 5 commands are 80% of what I regularly use and 8 commands are 90% of what I regularly use. Of course, I'm a data analyst, not a DBA.
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Jan 1, 2014 06:46
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Problem with that though is if you're paranoid of someone at your current employer seeing it by chance.
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Feb 1, 2014 06:53
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I'd still say don't get your hopes up. Internal recruiters tend to compile an initial list of candidates for submission to who would actually be the direct supervisor for the position.
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Mar 27, 2014 22:47
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the posted:Let me take a moment to bitch about the LinkedIn "Industry" fields. Research
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Jul 17, 2014 01:17
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Gregor Samsa posted:I'm a Philosophy PhD student who hasn't done much in the way of non-poo poo job work and am wondering how to flesh out my Linkedin to make it clear that I'm qualified to do more than read Kant (which I'm actually not really qualified to do, in any professional sense). If you're in the more analytic side, you have the raw aptitude to be a very good data analyst, the problem is that any corporate person will see your CV and run for the hills. Teach yourself SQL and try to learn skills like R or Python. Start looking for opportunities along these lines.
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Feb 3, 2015 12:08
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ultrafilter posted:Look at Wall Street. There are firms there who hire generally smart people and teach them the necessary technical skills. It's not quite as robust a job market as it was a few years back, but it does still exist. The problem is most HR people see Philosophy and fall back on dumb stereotypes that aren't true, when the truth is that (some) Philosophy is actually very academically rigorous, probably the most difficult of the humanities. Very interdisciplinary with social sciences, computer science, linguistics, statistics, economics, set theory, etc... I was an undergrad at a top program and strongly considered grad school, but ultimately decided against it. I have hired a few undergrads as analysts and they were all very good fits, to the point where word got around and a few grad students contacted me with similar thoughts. Kim Jong Il fucked around with this message at 02:52 on Feb 4, 2015 |
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Feb 4, 2015 02:46
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