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This is the question no recruiter has ever asked you: How much time, on a typical week, do you spend on applying techniques, developing code or developing models learned at school or in textbooks (the "science" part), versus doing guess work, massaging the data to the point that you can almost "smell" it, creating new rules of thumb and more generally, do stuff not found in any textbook nor learned in any school classes (the "art" part).

While it is moderately easy to further increase your knowledge (the "science" part), how difficult is it to further develop your analytical craftmanship? Is it better to be an incredible artist with good science (these people are rare), or an incredible technical guru with good creative skills?

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