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 547 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 547 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 applied through a recruiter. The process took 4 weeks. I interviewed at Meta (Menlo Park, CA) in Feb 2022
Interview
There was a brief phone interview with a recruiter that asked about my background and skills. This was followed by a first round technical interview from a current member of the team.
Interview questions [1]
Question 1
They asked me to analyze a scenario about a proposed video chatting feature.
The phone screen lasted about 30 minutes and focused on both behavioral and technical questions, which was different from what I expected. After that, I had a technical round where I was asked to design an A/B test and write a SQL query for user engagement. A total stroke of luck hit me when I realized the query was a variation of something I practiced on PracHub, which helped me stay confident. Finally, I had a discussion on measuring the success of models, and I received an offer soon after.
Interview questions [3]
Question 1
How would you design an A/B test for a new News Feed ranking change?
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.