Passa al contenutoPassa al piè di pagina
  • Lavori
  • Aziende
  • Stipendi
  • Per le aziende

      Migliora la tua carriera

      Scopri le tue potenzialità di guadagno, trova lavori da sogno e condividi approfondimenti su lavoro e vita privata in forma anonima.

      employer cover photo
      employer logo
      employer logo

      Netflix

      Questa è la tua azienda?

      Chi siamo
      Recensioni
      Stipendi e benefit
      Lavori
      Colloqui
      Colloqui
      Ricerche correlate: Recensioni su Netflix | Offerte di lavoro di Netflix | Stipendi di Netflix | Benefit di Netflix
      Colloqui di NetflixColloqui per Senior Data Scientist presso NetflixColloquio di Netflix


      Glassdoor

      • Chi siamo
      • Contattaci

      Aziende

      • Account Business gratuito
      • Spazio per le aziende
      • Blog per le aziende

      Informazioni

      • Aiuto
      • Linee guida
      • Condizioni d'uso
      • Privacy e scelte pubblicitarie
      • Non vendere né condividere le mie informazioni
      • Strumento per l'accettazione dei cookie

      Lavora con noi

      • Inserzionisti
      • Carriere
      Scarica l'app

      • Cerca:
      • Aziende
      • Lavori
      • Località

      Copyright © 2008-2026. Glassdoor LLC. "Glassdoor," "Worklife Pro," "Bowls" e il relativo logo sono marchi registrati di Glassdoor LLC.

      Aziende seguite

      Non lasciarti sfuggire opportunità e informazioni privilegiate seguendo le aziende dove vorresti lavorare.

      Ricerche di lavoro

      Ricevi suggerimenti e aggiornamenti personalizzati avviando le tue ricerche.

      Colloquio per Senior Data Scientist

      23 gen 2020
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza neutra
      Colloquio difficile

      Candidatura

      Ho presentato la mia candidatura online. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Netflix nel mese di gen 2020

      Colloquio

      I’ve applied to one of their experimentation data science roles and was contacted by recruiter. I had a 30min chat with the recruiter, learned more about the role and responsibilities and what they are looking for. After that I had a 30min introductory call with the hiring manager. It went really well, she was genuinely interested in my background and shared some example projects that they are working on. Then I was scheduled for a technical phone interview. Technical phone interview went great for me. I’ve answered all the questions right and to the point. I was asked very detailed and deep technical ML and NLP questions, which I wasn’t expecting but answered well because I have deep technical expertise in these areas, too. However, next day recruiter reached out to me saying that they don’t think my background is a good fit, I was literally shocked as I was expecting an onsite interview as the next step. I asked about feedback from the interviewer and recruiter said I didn’t do well on the questions regarding word2vec and L1/L2 regularization. I was shocked once again because L1/L2 regularization is the thing that I am most comfortable with since it was a part of my PhD dissertation. I’ve talked about the unit circles for both l1/l2, how one can be used for feature selection(lasso) whereas the other one can only provide shrinkage (ridge). Why l1is not differentiable at 0 while l2is differentiable and how that helps the algorithm to do feature selection. I went above and beyond for the regularization methods yet the feedback I get is saying that I didn’t do well on this. For word2vec, I’ve mentioned about the differences between cbow, skip-gram and their advantages and disadvantages, when to use which one etc. I was very disappointed with the outcome not because I wasn’t invited for the onsite but because when I answered all the questions correct and to the point yet they thought I am not the right fit. Not to mention that, even if I’ve applied and interviewed for the Experimentation role, I wasn’t asked even a single question on experimentation. I was asked NLP and very detailed ML algorithmic questions, which I am okay with, but I wish I’d known that that was going to be the interview. Anyways, overall it was a great experience and recruiters as well as hiring manager were really great. They made the process smooth and enjoyable. I wish things went on the other direction but I will keep applying for other roles in the future as I believe Netflix’s culture resonates with me quite well. I am sick of corporate BS cultures. Bring me something bold!

      Domande di colloquio [1]

      Domanda 1

      Very deep and detailed ML questions on tree based models etc.
      1 risposta
      3

      Altre recensioni di colloqui per Senior Data Scientist presso Netflix

      Colloquio per Senior Data Scientist

      23 ago 2022
      Candidato anonimo a colloquio
      Los Gatos, CA
      Nessuna offerta
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto una settimana. Ho sostenuto un colloquio presso Netflix (Los Gatos, CA) nel mese di ago 2022

      Colloquio

      Recruiter call followed by a technical screen - thiry minutes conversation on metrics and tradeoffs of primary, secondary, guardrail metrics in a causal inference/experimentation setting. Interviewer was friendly and excellent.

      Domande di colloquio [1]

      Domanda 1

      Q: Write a method in Python to return the confidence intervals around a mean? Q: Using SQL return the number of new netflix members in the last 7 days
      Rispondi alla domanda
      5

      Colloquio per Senior Data Scientist

      11 mag 2021
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza negativa
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura tramite un selezionatore. Ho sostenuto un colloquio presso Netflix nel mese di apr 2021

      Colloquio

      Similar to the other posts on no communications. Hiring manager interview asking behavioral questions only. Ended with a super positive note but not any single communication ever since. It's funny because their culture says "extraordinarily candid" and stuff related to giving direct feedbacks but I guess that does not include candidates being interviewed.

      Domande di colloquio [1]

      Domanda 1

      Normal behavioral questions you'd get elsewhere, what are you looking for, what's your work style, tell me a time you had to disagree with someone
      Rispondi alla domanda
      2

      Colloquio per Senior Data Scientist

      23 mar 2021
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza neutra
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura tramite un selezionatore. Ho sostenuto un colloquio presso Netflix nel mese di feb 2021

      Colloquio

      Interviewed for the Member UI team (product analytics+experimentation). Recruiter chat, followed by Hiring Manager phone screen, then technical phone screen. Virtual onsite #1 had 4 segments: recruiter again, presentation of a take home to 2 data scientists, sql+stats with a data scientist and HM again. finally there's virtual onsite #2 which I did not get to. I had a positive experience with all the segments except the presentation, which was neutral-to-negative. interviewers were the type who try and figure out how much you don't know rather than how much you do know. towards the end, we were discussing their work experience and one of the interviewers says he had a difficult time during his first few months because a lot is expected. He goes on, "I'm not trying to scare you, but...." That was when I knew I had failed the interview. He obviously didn't think much of me. Wonder what it's like if you work with this guy and happen to not know something. That's probably when the scaring starts. It's true that he has a lot more experience than me but that really left a sour taste. I do not recommend the Member UI team for this reason.

      Domande di colloquio [1]

      Domanda 1

      A fair bit of statistics in the context of A/B testing... variance, bootstrap, adjusting for covariates, heterogeneous treatment effects. SQL was not too difficult. Take home was product analytics and experimentation. You are expected to come up with novel metrics. Be prepared to answer questions about ambiguous results, interactions, etc.
      1 risposta
      6