OE as Data Scientist? Is that possible?

I've seen people in software engineering juggle multiple jobs, but I wonder if the same is feasible for data scientists. The common perception is that DS roles involve deep analytical work, complex modeling, and a lot of collaboration, making it hard to "coast" or automate tasks enough to hold down multiple jobs.

At the same time, some DS roles (especially those focused on dashboards, reporting, or lightly tweaking models) seem less intense than others. So I’m curious—how many hours a day does your DS job actually take? Have you, or anyone you know, managed to be over-employed in this field? What strategies make it work (or not work)?