Meta Data Science interview questions

Fairly standard Data Scientist interview process. Consisted of an HR screen, then an interview day with 4 different current data scientists. Each round was a slightly different focus (SQL/coding, problem solving, behavioral, etc). Data Scientists I interviewed with were of varying levels of seniority. They did not expect me to do a take-home coding interview which is increasingly rare and extremely respectful of my time so for this reason I give them an overall positive experience.

Two sharp rounds: first a rapid-fire SQL and statistics grilling, then a product-sense deep dive on Instagram Reels. I navigated cohort analyses, A/B pitfalls, and framed metrics around user stickiness; the interviewer nodded when I tied lift to business impact. Tough but fair—Meta prizes clarity and narrative as much as numbers. I left drained yet confident, takeaway in bold: master experiments, tell a crisp story.