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In my limited experience, there's a difference between a data scientist who can process data given data and a set of questions about it, and a data scientist who can figure out what data you need, and the questions that need to be answered.

I think making the transition from the first role to the second role comes with experience, both with the toolsets, and thinking about the problem as a whole.




> data scientist who can figure out what data you need, and the questions that need to be answered.

Isn't that describing a statistician?


Isn't that how the joke goes? A data scientist is a statistician in California...




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