LinkedIn·Data Scientist·Technical Phone Screen
May 2026
LinkedIn data science interview focused entirely on newsfeed health, four questions deep into metrics, experimentation, and the tricky balance between engagement and actual user satisfaction. Pretty analytical throughout, no fluff.
- What engagement and revenue metrics would you track for the LinkedIn newsfeed, and how would those differ at a daily versus monthly granularity?
- If you saw a spike in engagement metrics, how would you figure out whether it reflects a real quality improvement or just a short-term bump?
- Walk me through how you'd design an analysis to causally attribute changes in feed metrics to specific product changes that were made.
- How do you think about the tension between maximizing time spent on the feed versus keeping users satisfied and retained over the long run?
“I went through the obvious stuff first: DAU, feed scroll depth, click-through on posts, time spent.” The rest of the author's notes on Data Scientist interview at LinkedIn, Technical Phone Screen round, covers how they worked through the question, what the panel pushed back on, and what they would do differently.
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