Archivos de la categoría Data scientists

What (Really) is a Data Scientist?

What is a data scientist? What makes for a good (or great!) data scientist? It’s been challenging enough to determine what a data scientist really is (several people have proposed ways to look at this). The Guardian (a UK publication) said, however, that a true data scientist is as “rare as a unicorn”.

I believe that the data scientist “unicorn” is hidden right in front of our faces; the purpose of this post is to help you find it. First, we’ll take a look at some models, and then I’ll present my version of what a data scientist is (and how this person can become “great”).

#1 Drew Conway’s popularData Science Venn Diagram” — created in 2010 — characterizes the data scientist as a person with some combination of skills and expertise in three categories (and preferably, depth in all of them): 1) Hacking, 2) Math and Statistics, and 3) Substantive Expertise (also called “domain knowledge”).  Sigue leyendo

Data scientists: ‘As rare as unicorns’

keep-calm-and-love-unicorns-35Data scientists are in high demand as executives seek talented individuals capable of unlocking the hidden value from big data to create big business results. But managing such scarce talent requires a proactive approach over the short, medium and long term.

Big data is enabling companies to gain new insights into areas ranging from customer behaviour to how their businesses function. These data-driven findings can have profound results on the bottom line.

The explosive growth in the amount of available data and an appreciation of its value is going to continue driving very strong demand for data scientists. In fact, their rarity already has some executives describing them as “unicorns”.

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