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.
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.
