Those of you who are seasoned (and deem yourself successful) data scientists - do you consider yourself a DS generalist, or did you find success by becoming a DS with specific business domain/industry expertise (customer analytics at retail company, infra maintenance on data infra team, etc)?

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I found an expertise but if you’re in a true data scientist role the job hopping is normal, there aren’t a ton out there.

True DS is pretty meticulous whereas consulting usually is more about finding the balance between a correct and solid performance metric model and time to push to production.

In any level of analytical data work it’s good to have industry knowledge. Understanding the data is pretty important

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I ignore analytics heavy positions sent by recruiters, and refuse to sign myself up for any testing work in my current job. Don't do CV either.

But then most of my job these days is software engineering with a sprinkle of NLP and classifiers knowledge work. So I guess that makes me a generalist? Idk

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Fff

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