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by edw
3410 days ago
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At the risk of sounding cynical, there are also companies out there that want to _appear_ to be interested in all the things you just mentioned, so they'll hire a few people to do their [wave hands] data science, machine learning "thing" and those few people then go down the rabbit hole, untethered from reality. The C-suite people will then have their message they can deliver externally—and internally—about their commitment to [wave hands again] all that stuff. The tragedy when this happens is that sometimes that small team of people is not aware what their function at the company is—being the human props for the sales and marketing teams. The alternative, I suppose, is far more depressing—that the "data scientists" are fully aware of their role in the grand scheme of things. |
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Upside: I had one of the most paying position among the technical people. I also got to play with expensive stuff.
Downside: it was soul crushing, I was delivering no value whatsoever and had a really hard time looking at my colleagues in the eye, as they were making a third of my salary (at best).
I got out, joined a new company with that in mind and now have a very exciting job. They do have a dedicated R&D, Data Science team which is a shit show: absolutely brilliant people completely wasted as they can't build anything for lack of programming/technology experience, in an environment where their theoretical skills are mostly useless. I'm genuinely sad for them.
[edit: one of the company still has a Hadoop/Spark cluster for their whooping 500Mb of data]