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At first I thought they were calling themselves QB data scientists as in quarterback, a la “rockstar developer”… glad I caught myself before roasting them

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Hahahaha

1. Yes, but it is generally not that bad. Plus teams try to make life as easy as possible in terms of travel. But we did travel 4 days a week before COVID. Things might change now
2. Qb folks are mostly on macs, we generally have integrative colleagues on teams for excel/ppt kind of work. Generally teams try to utilize Qb colleagues for more tech driven work. Not to say you will never end up working on ppt or excel
3. Yes I think so, we have had folks with masters in business analytics from mit as data scientist. For folks with more business degrees there are positions like translators which are super in demand
4. I believe the biggest difference will be that your learning curve will focus heavily on soft skills and the consulting toolkit items something you will not get exposed to at tech. At a big tech company I believe the tech learning curve might be better as you get to go much deeper in the tech stack and have an much more technology savvy environment. At Qb we do have some amazing tech talent as well but the overall learning atmosphere might not match to faang due to the nature of work, you will learn a few different things here.

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Very very interesting, thank you so much for the detailed answers!
A clarification on point 2 here, you're saying there are 1-2 QB colleagues in normal consulting teams, or 1-2 normal colleagues in QB teams ?

1. Working hours depend on project but are definitely better than what you’re describing here 😅
2. MacBooks are popular - some people working in AA topics have thinkpads (+ that can happen if working on client machines)
3. Yes

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Ah yes that makes sense, I was hoping people did that. So McKinsey will provide both laptops to you?
Umm, if you have time (and I doubt that you do) - can you tell us a bit more about your work? Like the time distribution between writing code and working on decks and stuff. Maybe even talk about an example project - does work feel like constantly working on a puzzle, does it feel like "normal coding" - I'm very curious about the overall life of a Data Scientist at QB and other similar firms.

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Internal projects in tech also come and go. Lots of prototyping type stuff with different teams, 3 months (a fiscal quarter) is a pretty typical window to build something new--unless it's a research project, then can be much longer. Can't speak to QB.

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Interesting, I've seen some internal data science projects at ZS too, so I guess this makes sense. Thanks !

For BCG Gamma: 1) in normal times yes, work/travel like consultants - programmers are just machines that turn coffee into code, 2) we can get MacBooks, 3) I’ve seen it happen but it’s less common, 4) I imagine in tech data scientists are more focused on just building models, in consulting you have to do a lot more both on the data engineering and client engagement side

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@DS1 - agree, everywhere you go will have some data engineering.

@OG - CS undergrad degree will help, I think some Business Analytics programs on their own are a little light on the coding side which is why it’s less common

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