Data scientists will increasingly become vital employees as companies create and use more and more data and try to tap the river of data they’re generating to improve their products or build new business opportunities [Source].
But what is a data scientist? Hilary Mason, a data scientist at Bit.ly, has a good definition. It’s someone who can obtain, scrub, explore, model and interpret data, blending hacking, statistics and machine learning. It’s a set of skills that go beyond many existing job titles and it’s increasingly in demand [Data Scientist].
The ability to take data – to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it’s going to be a hugely important skill in the next decades, not only at the professional level but even at the educational level for elementary school kids, for high school kids, for college kids. Because now we really do have essentially free and ubiquitous data. So the complimentary scarce factor is the ability to understand that data and extract value from it [Source].
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