http://ficolabsblog.fico.com/2013/10/top-10-ways-you-know-youre-a-d...
I'd add an 11th one as well: you check data science sites before you check news sites in the morning!
10. You think … “So much data, so littl…”
9. You know what heteroscedasticity is.
8. Your best pick-up lines all include the word “moneyball.”
7. You look at your grocery bill and try to predict what you will buy next.
6. You think data scientists are cool… and you have a theorem to prove it.
5. The numbers talk back.
4. Counting sheep keeps you up at night.
3. You know where all the insights are buried.
2. You have a Kolmogorov-Smirnov hangover.
And…
1. You crunch numbers for breakfast.
Comment
There are data scientists that are much less geeky. You don't need to know the word heteroscedasticity, but you are able to fix the problem that it causes when faced with such data. Actually heteroscedasticity is related to linear models, but you don't even need to know linear models to be a data scientist. Likewise, Kolmogrov-Smirnov is not a requirement. You don't need this technical knowledge for model fitting. Indeed, you might be a data scientist and know little about statistical distributions, and use them rather rarely.
And I don't crunch numbers for breakfast, I crunch business ideas and ways to increase revenue and optimize business.
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