Using Auto M L in Data Science

Once you get really clean, reliable data that you can build models with, it doesn't take a whole lot more work to get good analysis out of it. And so being able to use auto m l as a user only works if you can trust your data and not do irresponsible stuff. So when it comes to jobs in data science, may be from an abstract way, what types or rolls are ones that are ten not easy to atemate or unatable eparring?