Meta Data Science interview questions

💼 Screening Round: It started with a product use case followed by SQL questions. Then moved into analytical reasoning—comparing CTRs, thinking through statistical significance. I felt pretty good by the end of that round. (Cleared it!) 🌀 Then came the full loop—4 rounds, all virtual: 👨 Behavioral: I talked through experiences—convincing cross-functional teams, handling tough coworkers, dealing with failure. Just kept it honest and tried to reflect on what I learned. 🤔 Analytical Reasoning: This started off strong. I felt confident identifying success metrics and thinking through what “good” looks like for a product that had completed a pilot. Where I stumbled was in shifting from my usual A/B testing mindset to one that called for causal inference from past data. Definitely a learning moment I’ll carry forward. 👨‍💻 Technical Skills (SQL): Pretty straightforward. I broke each question down into smaller parts and tackled them step-by-step. Focused on clarity, logic, and checking for edge cases. 🧮 Analytical Execution: This round dove into stats and probability— binomial distribution, audience reach modeling, stuff like that. I actually enjoyed thinking through it live.

The interview went well overall—the interviewers were friendly and made me feel comfortable. I was able to clearly explain my thought process, and the discussions felt engaging and respectful, when I got stucked hints are provided.