[iamwil]

I'd always thought of data scientists producing mostly analysis and reports, and sometimes products, and machine learning engineers producing mostly products that do predictions.

But in practice, they're probably not too different from each other. They both need to get data, clean data, analyse data, produce a model that predicts.

In addition, sharing datasets is probably something they have to do: https://blog.helmspoint.com/posts/2017/09/05/sharing-machine...