{ "media_type": "text", "post_content": "I feel like my skill set is being under utilized. 10-20% of the work I do is predictive modeling / data viz & the rest is correcting minutes, powerpoints, and other BS. Has anyone else been here?", "post_id": "5d989fe64a1a4e00242ca383", "reply_count": 16, "vote_count": 32, "bowl_id": "5ace5097be6e660013abcc42", "bowl_name": "Data & Analytics Consultants", "feed_type": "bowl" }

I feel like my skill set is being under utilized. 10-20% of the work I do is predictive modeling / data viz & the rest is correcting minutes, powerpoints, and other BS. Has anyone else been here?

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Yes. Was doing way cooler data science stuff in industry before joining consulting. Now I barely get to write ML code. Most of the code I write is just data transformations. But the pay in consulting has been better so I’m sticking around

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I've had periods/jobs where I was coding all day every day. I've also had ones where I was mostly doing other stuff, but I was never the one who was handling PowerPoints or meeting notes. Now if I'm not coding, it's because I'm having data architecture discussions, supervising other peoples' technical work, or other kinds of planning/stakeholder meetings that need to be done by a technical person. If you have technical skills and you're being used to take meeting notes, you should think about an exit plan because this isn't a good use of your skills and the next data science job you want isn't going to be impressed by that stuff. It is not like this in every data science job. Yes, cleaning data. No, low-level project stuff.

likesmart

Every project is different! And if you're getting something else from yours - they're supporting a promotion or helping you get grad school paid for or there's a senior leader who you want in your network long term - that could be a good reason to accept this less than great thing. Just, this isn't standard enough that you should think any other project will have this, too, even though of course it might have other bad things.

Yea that's everyone. data scientist spend 80% just cleaning data before actually doing any modelling. then you after that it's preparing the presentation... and of course you have ongoing meetings you need to take notes on.

likefunny

Not a data scientist, but a PhD researcher and I feel this so hard. I switched groups to be more research/strategy focused, but I still spend my time doing inane shit and have no time to do the big picture thinking they hired me to do

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Writing code all day is fun and the enjoyable part of the job for a while imo. The question I would have for folks is whether or not that is what you want to spend your whole life doing? If it isn’t you will need the soft skills later on. If you are going to manage DS projects or portfolios of DS projects you won’t be spending much time as much time writing code. If it is the only thing you want to do there are probably better options in industry, but you might end up level capped at some point. Not everyone will be at Facebook/Google/Microsoft doing research for big money.

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Thanks for the input! Now that you mention it, it’s not. I think the more significant skill set I see stemming from this career is actually driving actionable workstreams as a result from analytics. Having the confidence to say let’s do this, because of X, is where I want my career to go..

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I’m with you on this. Do you feel like it hurts exit ops? Or does industry secretly value these skills?

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I guess in any industry job, data science managers do less coding and are more about people skills and maybe broad ideas. Hard to want to advance when you stop doing the fun stuff 😭

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I feel this too, still doing hard analytics but just working more and harder than ever with taking on all the project management and internal politics and client management etc. not sure if I’m getting any credit or compensation for it. All good stuff to learn from but needing to pump the breaks a bit.

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OP are you in Federal or Commercial consulting?

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Please Join a product company for data scientist work and not expect anything from PwC, here you will be just working more of meetings and data analysis work which involves visualizations and data cleaning and munging.

I’m at D, sounds similar though.

Same

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