Me postulé a través de una recomendación de un empleado. El proceso tomó 4 semanas. Acudí a una entrevista en Meta (Schaumburg, IL) en sep 2023
Entrevista
Very smooth and streamlined. You are evaluated on attributes like programming skills (you choose a programming language to be tested on), data science math (probabilities and statistics), data science analysis (how you approach a problem, how you come up with hypotheses to test, how you test the hypotheses, etc.) and behavioral (how you handle stress, uncertainty, changes in requirements, etc.). No waiting around for specific people to become available and going through interviews one by one with long gaps in between. All 4 or my interviews took place on the same day just like in the old days when you would have been invited to an office, evaluated by a bunch of people, and sent home at the end of it. The decision came about a week after the interviews. The entire process was less than a month long.
Preguntas de entrevista [1]
Pregunta 1
SQL: How to join tables with common fields, how to calculate sums and averages, etc. Quite basic, nothing advanced such as window functions or DDL. Data Science math: Calculate expected values, calculate probabilities of simultaneous occurrence of independent events, etc. Pretty basic, nothing advanced like weird distributions or hard to remember facts. Data Science Analysis: Come up with plausible metrics to evaluate a recommendation system. How would you test the recommendation system for bias? What hypotheses can you come up with for detecting bias, and how would you test them? How do you test whether a new system is a net positive or it is cannibalizing an existing system. Behavioral: Tell me about some work you are proud of. How would you handle ambiguity - how do you make recommendations in the face of ambiguity? What do you like about work, what do you dislike?
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
Preguntas de entrevista [1]
Pregunta 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
Preguntas de entrevista [1]
Pregunta 1
Questions on Bayes Theorem, Probability distribution, etc.
Me postulé en línea. El proceso tomó 6 meses. Acudí a una entrevista en Meta
Entrevista
Completed 3 rounds of the process, which includes the initial recruiter screen, technical, full loop, and team matching.
Couldn't move past the full loop interview. The interview was very engaging, and I actually enjoyed working through the cases. No crazy questions.
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