18 May '13, 3pm

Great perspectives from Kaggle CEO: Data Science Is Now a Job Market Based Entirely on Merit @IEEESpect…

So our data scientists come from three main categories. Now the first is academics, so if you’re an applied statistician, or an applied data sci machine learner, you want access to real-world data sets that you can, you know, get a sense for the kind of questions companies are interested in solving, and you can benchmark your techniques against others. Second category are people that work in companies, they already have jobs, and generally we find that a common profile is you might be the best statistician or data scientist at your company, and so you’re not learning quite as much from your colleagues as you would like, but you’re ambitious and curious, and you like puzzles, so Kaggle is a really good way to come on and compete with some of the world’s best, and still improve. And by the way, just on that, we’ve had people who contributed to IBM Watson competing on Kaggle,...

Full article: http://spectrum.ieee.org/podcast/at-work/tech-careers/dat...

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