Anyone from BCG Gamma willing to share how technical your projects are?
Is it a good place to develop data science technical skills? Do you guys normally write production-level python code, or use jupyter notebook more often, for example?

Will data scientist be asked to do purely data analysis/visualization work? Will data scientist get the chance to do model deployment work (build API, CI/CD, etc.)

Any insights will be very much appreciated!

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There are pockets of Gamma that do production work / MLOps and make use of those practices, but i would say the majority of cases in North America do not. That said, if you get into one of these pockets (eg personalization) then you’ll do a lot of it.

In my opinion, the MLE skill cap at Gamma gets hit pretty quickly because the projects we do aren’t nearly at the scale you’d see at a tech company.

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That’s very good to know! Thank you very much LDS 1 & BCG 1

BCG gamma kickstarted my team in 2018, they mostly had data scientist do engineering work so after 12 months of work, their code and systems weren’t at production level, they were more at proof of concept level implementations. Their ML models were good.

I had to pick up where they left and productionize everything.

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I’m from Gamma Engineering team and thankfully this is getting less common.

More generally, this also depends on what was sold. Specially in shorter cases, the clients pushes for more “science” and decides their internal team will do the heavy lifting.

I work with some ex-Gamma and they’re all amazing.

They do really good business oriented DS. Patentable stuff too

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