Would you (or somebody else) mind comparing/contrasting Data scientist/ML Eng a little more? I'm not sure I understand the difference (and perhaps like many roles/titles in our industry the line is blurry).

Never mind, I mentally flipped the numbers. I read 20/80 and 30/70 but it's actually 20/80 and 70/30. IOW, Data scientist spend a lot more time modeling, and ML eng spend a lot more time engineering. makes a lot of sense. I'll post this comment anyway in case it helps someone else.