I applied through a recruiter. I interviewed at Meta in May 2018
Interview
Got contacted by the recruiter on Linkedin. I was not actively looking for a new job but was just curious about their interview process so I responded. The recruiter did a quick phone screen asking about my background and gave some info about the role. She then scheduled a technical interview with a data scientist.
The technical interview questions were pretty similar to what are mentioned on Glassdoor. First part is some sql questions where he typed the sample data and asked me to write queries to get the answers. The second part was a series of product related questions about facebook videos and groups.
I agree with others that the interview process feels a bit impersonal. The interviewer looks like he was just performaing a routine and demostrated no interests in my background. For example, he asked me to describe a recent project I worked on and gave zero reaction after my response. I feel like he also had the 'correct answers' in mind for the product questions which should be more open-ended. It doesn't seem like they are looking for the type of data scientists that you'd expect (someone with experience in machine learning, modeling, data engineer etc), since there are other teams for that. The analytics data scientists just support the PMs by doing a lot of sql. It should really be called a data analyst or product analyst role.
Interview questions [3]
Question 1
Given 2 tables, one with the phone numbers that facebook sends the confirmation message to and another one with the phone numbers that confirmed the verification, write a sql query to calculate the confirmation percentage.
Tough interview overall—definitely not what I expected. The technical rounds were intense, particularly when they had me design an A/B test for the News Feed ranking algorithm. I had to discuss metrics and sample sizes in detail. Lucky for me, the time I spent on PracHub right before the interview helped me nail that deep-dive question as it mirrored what I practiced. The behavioral questions felt standard but were still challenging. After a whirlwind process, they extended an offer, which I happily accepted.
Interview questions [1]
Question 1
Design an A/B test to evaluate a new ranking algorithm for the Facebook News Feed. Walk through metric selection (engagement, time-spent, MSI, well-being), unit of randomization given network effects between friends, sample size and power calculations, how you'd detect novelty effects vs. true lift, and how you'd handle a guardrail metric regressing while the primary metric is up.
Total 7 rounds: first round for resume screening, second for technical screening, then for on-site virtual with 4 interviews back to back, then hiring manager round after team matching and then salary negotiation with HR
Interview questions [1]
Question 1
Meta’s evaluation rubrics focus heavily on "Product Thinking over Fancy Math". Interviewers want to see if you can operate like a product owner with an analytical mindset, navigating messy scenarios affecting billions of users
The Interview Process is very structured -
First Tech Screening round - 45 mins (usually can extend a bit depending on the interviewer)
- 2 SQL Questions ( Medium to Hard ) - based on Joins
Full Loop - 4 rounds 45 mins each.
- SQL
- Behavioral
- Analytical Execution - stats & prob, A/B testing, case study
- Analytical Reasoning - Case study
Interview questions [1]
Question 1
Questions on Bayes Theorem, Probability distribution, etc.