For ML jobs, should I go for DS, AS, or ML Eng?
When I was in college, my understanding was that data scientists do most of the ML related works while there are data analysts and business analysts working on analytics projects. However after coming to industry, I find data scientists in top tech companies work on analytics most of the time, and seledomly have the chance to work on ML. I even don’t know what’s the difference between data scientists and analysts in this sense. And there are applied scientists, MLE, and research scientists (named differently in different companies) purely working on ML. Is it the trend that data scientists are becoming analytics professionals and applied scientists/ML engineers are becoming the “core” data scientists?