A new role that has emerged in the technology space in recent years is that of machine learning engineer (MLE). Some people often confuse MLE with a data scientist; However, there is a fairly broad distinction, which I'll explain in this article to give you some clarity if you're thinking about making the switch.
Let's start by defining a data scientist. Having worked as such for over three years, I feel I am in the right position to do so!
Data science is a broad term today and means different things in different companies; It's ambiguous, to say the least! (I often complain about this)
A data scientist at one company might be doing purely analytical work and setting metrics, while at another company, they might be building and deploying machine learning models.
That's why I always recommend potential applicants read the job description carefully to make sure they understand what they're signing up for and that it's in line with what they want to do.
Typically, a data scientist will do a combination of analytical and modeling work and will be…
