Is it accurate to say that data scientists will mainly generate insights to the business?

Hi, I’ve seen few blog posts and posts in other forums out there talking about the difference between data scientists and machine learning engineers. As I understand, many of the skills necessary for doing both roles are very similar, and the actual difference between the skillset being very nuanced.

Comment below if you consider yourself a data scientist, but you are also pushing fully featured APIs/applications to production. I’m pretty sure that people make the distinction I mentioned above just because most of the tools in the space are not very mature yet, and to push things to production there’s a lot of manual engineering work that’s still necessary. Any level of detail on your day-to-day would be appreciated.