I'd add math skills, but I really appreciate this comment. Hyping the difficulty and complexity of these tasks to protect economic turf - and insisting on accreditation and experience vs. actual results - is never a good long-run play.

The only value any professional can reliably claim to add - data scientist, software architect, CEO, etc. - is the value they can prove. One must be able to justify their job or salary by superior results (quantitatively better predictions, lower costs, faster development cycles). If you can't do this, but instead insist your superior training protects the company from some scary, unseen, vague 'bad consequences' of not having a 'true professional' performing your work, then you're just as big a drain on enterprise value as a lawyer.

Or worse, an MBA. :)