Meta·Data Scientist·Technical Phone Screen
May 2026
Meta DS interview with a meaty product analytics case built around a social shopping platform. The whole thing was one long scenario about comment rates on group posts, but it had a bunch of sub-questions layered in, so it felt more like a 40-minute conversation than a single prompt.
- What data would you look at first to diagnose why posts on a social shopping platform aren't getting comments, and how would you structure your analysis step by step?
- Map out the user journey funnel for commenting on a post. What are the key drop-off points, and which user segments would be most meaningful to analyze?
- Brainstorm at least ten tactics to increase the comment rate on posts, then rank them by priority and explain your reasoning.
- Pick one of your proposed tactics and design an A/B test to measure its impact on comment rate.
- If your experiment shows increased post impressions but no lift in comments, how do you interpret that and what do you do next?
“I started with volume stuff, like how many posts get zero comments vs at least one, then tried to break it down by post age and category.” 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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