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So, basically, you are saying that the main difference is that data scientists also make desicions based on the data, while the BI/DA works as a "data guy" for executives. Is that a correct way to put it?

In a way there seems to be a parallel between the enterprise programmer vs. hacker, and the business inteligence/data analyst vs. data scientist.

Yeah or at least the execs are saying "getting more users is important. How can we improve signups?" instead of "get me a time on signup page metric on report x."

A data scientist is like an analyst that doesn't have to go beg the tech guys to collect a new data set or build a new mining model, etc.

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