How should a data science be onboarded in your opinion?

To clarify: there are many flavours of data scientist. I’ll focus on the following responsibilities:
- pulling data from databases
- notebooks
- software eng: building internal tools for data scientists,
- deploying models
- cloud tools.
- data engineering (to an extent): primarily focusing on feature engineering and automation.
- docker
- basic networking

The end-to-end data scientist (if that makes sense).

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