Took around 1 hour and has three parts, each of 20 minutes: SQL, coding, statsitics. At the end had a few minutes left and the candidate can ask the interviewer questions.
Questions d'entretien [1]
Question 1
Asked about linear regression and ANOVA for statistics.
J'ai postulé via un recruteur. J'ai passé un entretien chez Meta
Entretien
1. Behavioral questions from recruiter around experience and check interests (30min); they will share interview preparation guide after this step if move forward
2. First round interview with ML/stats questions + coding/algorithm + data manipulation (1hr-if pass, there will be final round)
Questions d'entretien [1]
Question 1
Data manipulation with language of choice (SQL/python): easy joining/group by questions
Coding/algorithm: easy level Leet code, be ready to discuss time/space complexity
Stats/ML: regression deeper dive
J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez Meta
Entretien
A Shared Coderpad of SQL, Python Coding, Stats and ML. The questions were actually pretty basic but the interviewer frequently asked nitpicky questions that a DS practitioner would never really think about (like what are the formulas for pooled variance). See questions below as examples.
(SQL) Given a table, provide all the pairwise combinations of IDs, without any duplicates. So with record1: ID1 ID2; record2: ID2 ID1; record1 or record2 needs to be removed.