Ask HN: Looking for Some Guidance
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?
Is this AI slop? I notice the use of emdashes.
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
Treating 8 as "approximately" 10 isn't that unreasonable.
if you're just gaining experience in linear time you NGMI