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by jandrewrogers
5164 days ago
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The salaries are already moving north of $200k even outside of Silicon Valley and New York City and getting more expensive by the month. How high do they have to be before we have a "shortage"? The problem is not lack of money, it is that demand has greatly outstripped a finite supply. Very high wages do not automagically create new people with the requisite skills and this is the real bottleneck. It takes significant aptitude and years of training/experience to become useful as a "data scientist". It is not as easy as I think people are imagining. We train people with excellent raw skills where I work, usually strong applied mathematics backgrounds with natural programming skills. It is much easier than trying to find someone outside with these skills, though we do attempt outside recruitment. It still takes years to develop the people we train into a good, basic data scientist. |
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One doesn't need to be an econometric theorist to be a data scientist, but I feel that far too few hackers truly appreciate the elegance of some standard, say, 1st year economics grad school econometric models. Things like panel models, IVs, 2SLS, GMM and even just taking seriously the basic assumptions of OLS regression -- there's a reason most econometrics classes (grad or undergrad) always start with the ~5 assumptions of OLS regression.
TL;DR Economists would make great data scientists (and better economists) if only they understood and appreciated computer science more.