There are plenty of differences between DS and SWE, but one similarity that DS tend to miss is that the one-off-task-that-you-swear-is-just-a-one-off rarely is something you actually only do once.
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And while I had a sense of what it meant to maintain a report, I didn't really consider that having those other things available in the same format implied that they'd have the same level of support. I was accidentally building infrastructure. Rickety, rickety infrastructure.
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Not being a SWE, it seems to me like this happens less often in their world (although maybe not, given how buried everyone seems to be in tech debt). I think this must partly be because engineering focuses on reliability by default, whereas science does not.
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But IMO it ultimately comes back to problem of organizations not knowing what they want from Data Science, and it requires DS to be clear about the longevity of what it produces. Not everything should be infrastructure, but stakeholders may not realize unless it's made clear
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