Meta (Facebook) Data Science Interview Guide (2025)

Meta (formerly Facebook) is one of the toughest companies for data science interviews—but also one of the most rewarding. Here’s a comprehensive prep guide for candidates in 2025.

Interview Process Overview

• Recruiter Call — Screen for experience, motivation, and basic fit.
• Technical Screen — SQL and Python exercises (live or take-home).
• Virtual/Onsite Loop — 3-5 rounds: product sense, analytics, case studies, behavioral.

Most-Asked Meta Data Science Interview Questions

SQL / Python

• Write a query to find the daily active users (DAU) for each product.
• How would you identify suspicious activity on the platform?

Product Sense

• How would you improve Facebook Stories engagement?
• Walk me through how you’d measure the impact of a new feature.

Behavioral

• Tell me about a time you disagreed with a PM.
• How do you handle ambiguous requirements?

Meta’s Interview Philosophy

Meta looks for people who:

• Can reason from first principles.
• Use metrics to drive decisions.
• Communicate clearly and challenge assumptions.

Pro Tips for Meta Interviews

1. Practice live SQL/Python questions—whiteboard, not just notebook.
2. Frame every answer with business context and tradeoffs.
3. Prepare STAR stories for teamwork, conflict, and decision-making.
4. Review Meta’s product suite—bring real ideas.

Free Prep Resources

• InterviewQs custom Meta prep →
• Official Meta Careers