- Recruiter reached out via email, completed first round technical interview
Technical Interview
- first half: 25 minute product sense case
- second half: 2 LC easy/med level SQL questions
Interview questions [1]
Question 1
A question about improving one of their reccomendation systems
Started with a recruiter/screening round and then moved into the full loop. The full loop had four rounds focused on analytical execution, analytical reasoning, technical skills, and behavioral. SQL was a major part of the process, along with product metrics, experiments, stats, and communication. The process was structured but still challenging because the questions were open-ended and required clear thinking, not just memorized answers.
Recruiter screening then 1 hr technical screen on sql and business case. The interviews were focused heavily on product thinking: defining clear success metrics, interpreting metric trade-offs, and designing solid experiments. The SQL portion was straightforward but expected clean logic and structured thinking. The case rounds really test how well you connect metrics to real business impact.
I got a little caught off guard because I was expecting only 25% coding but it was like 75% SQL coding (5-6 questions related to a business case) followed by a full research design of an A/B experiment. All of this was expected to be complete in 40 minutes so you need to be able to work really fast.
Interview questions [1]
Question 1
One SQL problem required calculating correlation from scratch using SQL, was not expecting that.
Data Science - Product Analytics 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 61% positive. To compare, the company-average is 56.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science - Product Analytics roles take an average of 26 days to get hired, when considering 28 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 Science - Product Analytics according to 28 Glassdoor interviews include:
Phone interview: 34%
One on one interview: 29%
Skills test: 15%
Presentation: 12%
Personality test: 5%
Background check: 2%
IQ intelligence test: 2%
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