Data Science applicants have rated the interview process at Meta with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 59% positive. This is according to Glassdoor user ratings.
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I applied through a recruiter. The process took 2 months. I interviewed at Meta (Menlo Park, CA) in Jan 2023
Interview
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.
Interview questions [1]
Question 1
Given a sample SQL table, write a few query to solve increasingly difficult asks from the data.
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.
Interview questions [1]
Question 1
How would you detect bots in Messenger chat logs?
A/B test shows 0.2% CTR drop but longer sessions—what next?
Define precision versus recall in a tweet-length answer.
It was weird. I felt like they already picked a candidate internally. So, it was a waste of my time as I prepared so hard for the interviews.
I also felt like the interviewers were rude