Let’s start by defining a data scientist. Having worked as one for over three years, I feel I am adequately placed to do so!
Data science is a broad term nowadays, and it means different things at different companies; it’s ambiguous, to say the least! (I often complain about this)
A data scientist at one company could be doing purely analytical work and setting metrics, whereas, at another company, they could be building and deploying machine learning models.
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