Data Scientist applicants have rated the interview process at Meta with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 54% positive. To compare, the company-average is 56.6% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 32 days to get hired, when considering 546 user submitted interviews for this role. To compare, the hiring process at Meta overall takes an average of 31 days.
Common stages of the interview process at Meta as a Data Scientist according to 546 Glassdoor interviews include:
Phone interview: 36%
One on one interview: 23%
Presentation: 14%
Skills test: 13%
Group panel interview: 4%
Background check: 3%
Personality test: 3%
IQ intelligence test: 2%
Drug test: 1%
Other: 1%
Here are the most commonly searched roles for interview reports -
I only went through the recruiter screen, but declined the next steps. The screen was quick, maybe 15 minutes. We talked through my prior experience and what I’m looking for from my next role. Then they described the responsibilities of the role and talked through the tech stack. They sent over next steps immediately after the call, but I ended up withdrawing from the process.
I applied through an employee referral. I interviewed at Meta (San Francisco, CA)
Interview
Python and SQL round and case study questions.
Common questions around basic data structures, CASE statements, and window functions. Immediate cut off when its time for case study. Expectation is to see if you can think fast and critical at the same time while proving efficiancy and accuracy
Very fast-paced
Conversation with recruiter in email. Technical screening round where they ask about SQL and product sense. Onsite-Loop with four rounds. They ask about SQL, Product Sense, Statistics, Behavioural questions. The difficulty is average.
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