Meta·Data Scientist·Technical Phone Screen
Jun 2026
Meta DS interview focused entirely on product analytics for a new social groups feature. Three questions, all interconnected, and the retrospective analysis one genuinely tripped me up mid-answer.
- What metrics would you use to measure the success of Circle (Meta's new group-based social feature)? Define a primary north-star metric and the supporting metrics around it.
- Using only observational (non-experimental) data, how would you determine whether Circle should be optimized for small private groups or large public groups?
- You're shown time-series charts of total comments divided by total posts for three different products with different user bases. Can you directly compare these lines across products?
“I went straight to DAU and immediately knew that was wrong the second I said it.” The rest of the author's notes on Data Scientist interview at Meta, 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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