Ho presentato la mia candidatura tramite un selezionatore. Ho sostenuto un colloquio presso Meta
Colloquio
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)
Domande di colloquio [1]
Domanda 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
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.
Domande di colloquio [1]
Domanda 1
Asked about linear regression and ANOVA for statistics.
Ho presentato la mia candidatura online. La procedura ha richiesto 2 settimane. Ho sostenuto un colloquio presso Meta
Colloquio
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.
