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Comment by Jensson | Hacker News Reader

Data scientists wants salaries like software engineers which is why they get requirements like software engineers. There are plenty of data scientist positions where all you need to know is excel, but those doesn't pay nearly as well. And if you look at the typical software engineering position there is almost always a slew of adjacent technologies, it is hard to get a position today where you only have to know one thing.

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I don't believe pay directly influences job responsibilities like that. Maybe scale of responsibilities. But more pay doesn't mean you start doing something outside the job description.

The business leaders and managers trying to load kubernetes work on data scientists are doing so because the managers don't know what they're doing, what they want or who they need to get it done. Instead, they have the one hire they got greenlit last year and if that person can't do EVERYTHING, your group is screwed.

That's pretty much what I came to say. Expectations to know all the stack are what software engineers face.

Not only stack but all roles from devops to devsecops to QA to performance and loads testing.

Seems they want to replace one team with all responsibilities

Pretty much! QA teams are almost not a thing anymore, and you're lucky if you have specific people taking care of ops and tooling these days. Most of the time it's "the most involved people will work on them when they have a bit of time".

"Data scientists wants salaries like software engineers" This is a bit weird. In general, DS is still one of highest paid jobs in recent years, if you check any job market report.

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