1 min readfrom Data Science

did i accidentally pigeonhole myself as a recent grad?

hit my one year mark out of university as a DS at a hedge fund doing alternative data research. work has been really interesting and comp is solid so i'm not complaining.

with that being said, i've started to wonder if i'm quietly boxing myself in. most of the work boils down to data analysis and light statistical modeling, real edge being creative data sourcing, thinking about biases, and building economic intuition around research questions. high impact work for sure and the thinking it requires probably has a moat against AI. but i can feel my ML and "production" skills atrophying since i don't use them which is spooking me a little

my worry is that if i ever want to jump to a more traditional DS role down the line i'll look way too specialized and technically inadequate. the work here doesn't map cleanly onto most DS job postings and i'm not sure how that reads to a hiring manager a few years from now

is this actually a problem or am i overthinking it?

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