Any OR people now in DS here? How often do you use your training vs traditional ML and stats? Does it come up in interviews?

I've been thinking about picking up some optimization stuff, but really not sure if it's worth the time investment vs super hotter DS job title skills like NLP or the latest greatest causal stuff

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Prescriptive Analytics is not as flashy as ML, but the client impact I am seeing is significant and, especially important for consulting work, tangible. At the same time good OR modellers are significantly harder to come by than ML designers. With credible OR skills, we’d hire you in a heartbeat.

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I would tend to say many recruiters don’t really understand the fine nuances in DS anyways.

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What do you mean 'training vs traditional'?

If you are expert at one area You are good. My focus area is'standard' classification and regression algorithms. I'm functional in deep learning and time series but those are really separate areas of specialization in my opinion.

NLP is hot right now. If your passionate about it do it. If you're not and you are focused in another area you are probably good.

As in how often do you use the OR stuff you learned vs using traditional ML

At FAANG now but at gamma ive met a solid number of OR and optimization folks(think airline schedulers, shipping, manufacturing, refinement storage) who did some cool work. Not sure if this is the case but ive heard anecdotally the firm has questions that are more OR focused for those types of profiles vs generalist ML data scientists

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