{ "media_type": "text", "post_content": "How does mbb compare to faang / big tech when it comes to data scientist roles?", "post_id": "617f501d4af950002a3abacf", "reply_count": 6, "vote_count": 1, "bowl_id": "552d1d24dc1c586b09d2d051", "bowl_name": "Consulting" }

How does mbb compare to faang / big tech when it comes to data scientist roles?

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Go to FAANG

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How is this still a question on here.

When it comes to actual work: MBB -Cross-industries and functions, more diverse and broad -Shallower work, but it’s lower hanging fruit and easier to get value vs. FAANG solving the really hard problems as low hanging fruit long eaten -Client services…so data access isn’t always easy -Need to often multiple hats (algo, database, viz) -WLB = worse, 60-70hrs vs 40-50 -Pay = lower probably around 25%-75%. Honestly if you’re a junior DS and can’t get into faang or equivalent it’s a much better option vs. DS in industry to start…and better than big4/Accenture/Tech co firms even if the work is similar for brand name recognition.

MBB is okay if you have no experience as a first job. But after 2 years you need to be in tech just because the gap in comp will get too big to ignore. At 5YOE you might be lucky to hit 250K at MBB. In Tech you’ll be eligible for 400K+ roles

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