Where to Go After Data Science: Unconventional / Weird Exits?

Data science careers often feel like they funnel into the same few paths—FAANG, ML/AI engineering, or analytics leadership—but people actually branch into wildly unexpected directions. I’m curious about those off-the-beaten-path exits: roles in unexpected industries, analytics-adjacent pivots, international moves, or entirely new ventures. Would love to hear some stories.

P.S. Thread inspired from a thread in the consulting subreddit but adapted to DS.