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by shishy 2645 days ago
Commenting so I can find this thread easily later... as I'm also curious :).

I would also ask if you have a rough idea how much of the ML work is implementing basic models to production versus actual data scientific work in coming up with/tuning the underlying models themselves.

1 comments

My experience at a very high level:

- 1% true research / original ML

- 29% figuring out clever ways to apply existing approaches to new problems, understanding how clients business works and thinking of new twists on old ideas to solve those unique problems, etc

- 70% helping the customer understand what ML can do, how to manage their data and how to convince the rest of the company and IT to let them actually do it

Interesting regarding the 70% - do they actually you bring you in as a consultant to help them map out their ML strategy?