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It appears data scientists copy the most, which implies the one who automates others' work will get automated out sooner than we all think.

What data scientists should learn to stay relevant in the next 3-5 years?

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Data Engineering or ML ops, it has same kind thing going on that data science had 5 years ago. Nowadays it feels that most DS is just glorified Data analysts.

With AWS sagemaker like services MLops is also getting easier. Yes data engineering still requires significant work. I personally think people with business and technical sense will remain relevant. business sense -> understand or identify right problems. Technical sense -> can find quick solutions, most of the time just with co-code or autoML tools

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