Although I will admit, "Cool Algorithms Jockey" is a hard title to resist.
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The promise of mathematical elegance draws people to DS, and the infuriating messiness of trying to quantify the world drives some away. I wonder if framing the profession as being about measurement (rather than being a Cool Algorithms Jockey) would help manage disillusionment
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Absolutely! DS is as garbage in, garbage out as anything
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I thought about giving data roles more manual labor subtitles like "plumber" or "janitor", but all my friends said pass
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I used to describe management as "shit umbrellery" but somehow it didn't catch on
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This pretty much describes how I ended up in software engineering. The mathematical elegance is less obvious, but there's also much less (though still plenty) messiness from measuring the real world.
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As a non-mathematician, I never held any illusions about mathematical elegance as a way to accurately describe the real world. Biology is nothing if not messy, and people are too.
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Coming from a social science background, I also had low expectations for how precisely I could measure anything, but I had a period where I had hope for ML finding useful patterns in large datasets. I quickly learned that the best datasets are intentionally constructed.
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Yes, I think so.
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I think that’s probably only true for people coming from stem. I’m a political scientist and the messiness is what excites me. I’m not trying to fit humans into tidy theories.
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