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I think Data Engineering. With increasing sophistication of Auto ML tools ,a DE can easily cover the tasks of of a DS . Very unlikely to go the other way round. Also over the coming years , with the focus being on putting ML models into production, a DE is much more suited for that production heavy workflow.
could’ve guessed you worked at Accenture
Application Developer
Mentor
Data engineer. We will need way more of them than data scientists and unless you are what I would call a “high end” data scientist (PhD & research focused) I suspect you’ll have a better growth path in the most orgs than data scientists.
Bowl Leader
DS, but if I was to go the purely technical route then MLE or backend SWE. Don't see myself enjoying building pipelines all day every day as DE, need some variety.