Any manager needs to consider the balance between the size and seniority of their team, but data science managers are more likely to have to consider a third dimension—how matrixed their team is.
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^^ + "not inclined to believe that thinly spread matrixed orgs generate the best outcomes unless all the ICs are pretty senior" and it starts to become clear why orgs are often hiring for relatively senior DS instead of taking advantage of the larger pool of junior talent.
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Yeah, absolutely. It’s a real chicken and egg problem for the DS profession. We need to grow more junior folks into seniors, but so many orgs are bad places for junior ICs
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I feel like professional settings are missing ways to provide some of these services without attaching 'lead' or 'manager' to the job title.
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One thing that might help would be identifying the “design patterns” of DS work. There are a lot of canonical ways to build production-grade software, but I don’t know that those have been identified for DS
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In my experience DS teams are almost always woefully understaffed. The impact is felt throughout the org(s) they support but rarely recognized. Sounds like something we should work to change more comprehensively

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Interesting. I was going to push back and ask Katie why she felt comfortable asserting that DS is generally, broadly understaffed. What specific qualities of DS do you think are underrepresented?
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Hi, Your thread is ready to read. Any manager needs to consider the balance between the size and seniority of their team, but data sci https://rattibha.com/thread/1399511185083441152?lang=en … Have a good day!
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