I applied online. The process took 2 months. I interviewed at Meta
Interview
The interviewing process was disorganized and unprofessional. i first received an email from a Recruiter from the Product Analysis team. After a screening on the phone, they set me up with a technical interview with a Data Scientist to assess my Python skills.
First, the Data Scientist scheduled didn't show up to my interview. They had a replacemen who I could tell did not want to be there. Aside from cursing in the interview, he was the kind of guy who nitpicked at code that was functionally the same but not the way he would write it. An example would come to mind is using if/else vs. if/elif. At the end of the interview, I have never seen anyone try to get off the phone as fast as him. It ended like "I gotta go" "Ok" "Click."
That ended with a rescheduled phone interview because I wasn't assessed any of my skills. The second phone interview went well, but because I didn't use SQL and insisted on using python they decided i "am a better fit for BI."
Well this is the part of the process that angered me enough to write this review. They transferred me to the BI recruiter who had a screening with me. Keep in mind we are now at 4 phone interviews. He tells me he will set up a phone interview early next week. One week and 2 emails pass by and he is completely missing in action. No response to any way I try to contact him.
If I have one pet peeve with Recruiters is when they lie to and/or ignore candidates. In my experience with Facebook, I had both.
Interview questions [1]
Question 1
The questions mostly revolve around manipulation of data in SQL/Python but are basic. I wish I had something more specific.
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.