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      Entrevista para Infrastructure Data Scientist

      20 de jan. de 2018
      Candidato(a) sigiloso(a) à entrevista
      Menlo Park, CA
      Nenhuma oferta
      Experiência negativa
      Entrevista fácil

      Candidatura

      Candidatei-me por meio de recrutador(a). O processo levou mais de 1 semana. Fui entrevistado pela Meta (Menlo Park, CA) em jan. de 2018

      Entrevista

      Facebook is presumably one of the best companies to work for: innovative, exciting technology every day, start-up culture where everybody works hard but happy. However, from my interview experience I can tell this company is totally overrated. First of all, their interview questions are all made up only for interview purposes. If the job is exciting and innovative, why not share some practical problems with candidates you are dealing with? What’s worse, I got asked on exactly same questions on linear regression and lasso/ridge once in phone interview and once in onsite interview. So they basically draw questions from a pool, which is not large at all. There is a disconnect between recruiters and interviewers. In preparation of the onsite, I asked my recruiter if the questions in onsite will be of the same nature as those in phone interviews. The guy pivoted my question and recite a bunch of prepared cliche and reassured me that all I need to do is to prepare according to the email he would send to me, which I did. But the question is, the content of the email is not consistent of what actually happened in the interview! For example, the email emphasizes CS fundamentals and Geekforgeek coding questions, which are completely different from reading a csv line by line and writing functions for data manipulation. I also mentioned to the recruiter I don’t know much about A/B testing, which seems to be a staple for analytics data scientist. The recruiter answered I need to prepare for some basic hypothesis testing. Look, as a technical recruiter working exclusively for Facebook, he doesn’t know hypothesis testing and A/B testing are different! The onsite interviewers also showed some questionable characteristics. For example, a project manager was clueless when i mentioned Github. The last thing I’d like to point out is the Facebook campus, which apparently they are proud of but I think, is a bit creepy, to say the least. The Facebook campus feels like a mix of college campus and Disneyland. Bookstore, arcade, arts workshop, diner, you name it. If you don’t have much social life, you can literally live there without noticing it. Stop and think about it: is this really a nice thing? No difference between life and work? Certainly it’s a great thing for Facebook. I’ve long heard data scientists aren’t seen as valuable as software engineers at Facebook, which is probably the reason for my encounter. But one thing for sure is, Facebook is probably not as fancy as you expect.

      Perguntas de entrevista [2]

      Pergunta 1

      Table joins - basically the only thing they care about here
      1 resposta

      Pergunta 2

      Use python built in package to manipulate csv data
      1 resposta
      12

      Outras avaliações de entrevista de vagas de Infrastructure Data Scientist da empresa Meta

      Entrevista para Infrastructure Data Scientist

      27 de abr. de 2021
      Candidato(a) sigiloso(a) à entrevista
      Nenhuma oferta
      Experiência positiva
      Entrevista com nível médio de dificuldade

      Candidatura

      Candidatei-me por meio de recrutador(a). Fiz uma entrevista na empresa Meta.

      Entrevista

      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)

      Perguntas de entrevista [1]

      Pergunta 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
      Responder à pergunta
      3

      Entrevista para Infrastructure Data Scientist

      13 de dez. de 2020
      Candidato(a) sigiloso(a) à entrevista
      Nenhuma oferta
      Experiência positiva
      Entrevista com nível médio de dificuldade

      Candidatura

      Fiz uma entrevista na empresa Meta.

      Entrevista

      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.

      Perguntas de entrevista [1]

      Pergunta 1

      Asked about linear regression and ANOVA for statistics.
      Responder à pergunta
      1

      Entrevista para Data Scientist, Infrastructure

      13 de mar. de 2020
      Candidato(a) sigiloso(a) à entrevista
      Nenhuma oferta
      Experiência negativa
      Entrevista com nível médio de dificuldade

      Candidatura

      Candidatei-me online. O processo levou 2 semanas. Fiz uma entrevista na empresa Meta.

      Entrevista

      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.

      Perguntas de entrevista [8]

      Pergunta 1

      What are the assumptions behind a t-test
      1 resposta

      Pergunta 2

      What is the formula for pooled variance (yes they expect you to know the actual formula from memory)
      Responder à pergunta

      Pergunta 3

      What are the formulas for recall, precision, false positive rate, etc
      Responder à pergunta

      Pergunta 4

      (Coding) Search for first instance of k in sorted array more efficiently than O(n).
      1 resposta

      Pergunta 5

      What are the number of pairwise combinations of N elements.
      1 resposta

      Pergunta 6

      How do you handle imbalanced classes?
      Responder à pergunta

      Pergunta 7

      Import CSV and manipulate some data. No pandas allowed though.
      Responder à pergunta

      Pergunta 8

      (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.
      Responder à pergunta
      23

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