Related Posts
Additional Posts in Data & Analytics Consultants
Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
New to Fishbowl?
unlock all discussions on Fishbowl.




1 is a prereq for the other imo
Consulting, though I’d be looking to build modest technical skills in both. I have a background in data engineering (7 months), applied statistics (undergraduate), and strategic data architecture (7 months). I feel I’ll need to grow all three, but I’d like to excel in one. Do you think the ML/analytics side has the same pay premium? I was under the impression it had more.
Bowl Leader
Sounds like data engineering v. analytics. Do whichever speaks to you more, both have solid prospects and a good amount of breadth with where they can go. Neither field will vanish out of under you, so long as you adapt to new ideas and tech over time.