Hey folks—would love some honest guidance. I’ve got ~10 years in ML/forecasting/analytics (Python, SQL, R, Java), based in my country’s finance hub, and a master’s from UC Berkeley.

I would say I am proficient on following sides: 1) Coding 7/10 2) Analytics/Modelling 8/10 3) Communication 8/10

I’m torn between doubling down on modeling/analytics, moving to backend/data SWE, jumping into Gen-AI/AI engineering, or shifting into analytics consulting. Looking for maximizing career longevity—skills that age well, solid comp, and resilience across cycles. If you were me, which path would you bet on and why?

Comments (3)

sgt · 1h ago

Is this AI slop? I notice the use of emdashes.

gnabgib · 1h ago

It's certainly a dupe: https://news.ycombinator.com/item?id=45171215

And last year they only had 7 years experience https://news.ycombinator.com/item?id=40075849

1c2adbc4 · 56m ago

if you're just gaining experience in linear time you NGMI

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Comments (3)