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      Ricerche correlate: Recensioni su LinkedIn | Offerte di lavoro di LinkedIn | Stipendi di LinkedIn | Benefit di LinkedIn
      Colloqui di LinkedInColloqui per Data Scientist presso LinkedInColloquio di LinkedIn


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      Colloquio per Data Scientist

      21 mar 2016
      Dipendente anonimo
      Offerta accettata
      Esperienza positiva
      Colloquio facile

      Altre recensioni di colloqui per Data Scientist presso LinkedIn

      Colloquio per Data Science

      19 nov 2024
      Candidato anonimo a colloquio
      Dublino, Dublino

      Candidatura

      Ho sostenuto un colloquio presso LinkedIn

      Colloquio

      I have emailed a recruiter, sent her my resume and she got back to me to schedule a chat. The chat with the recruiter was about cultural fit. She checked that I cared about Linkedin mission and its core values. Nothing hard if you genuinely want to work there. After that I was sent a takehome challenge to be completed in 3/4 hours. As others were saying, if you prepare on the book "a collection of data science takehome challenges", you will be good. If you don't have time to go through all of them, just focus on the one related to predicting employee salaries... Before applying, I would suggest to practice on that book challenges and save R or Python scripts to then reuse them. That will save you a lot of time. Also, under time pressure, it is going to be so much easier if you have the main scripts ready. After the challenge, I went for the onsite. I was really scared, but it was actually easier than I thought. There were some probability puzzles, but really simple if you have a basic understanding of probability and if you prepared on the heard on wall street book. There was also one question where I had to describe how to implement and test a model to catch fake profiles. But the interviewer didn't ask me to go too much into details. It was mostly about which features I think would matter. I think they wanted to see if I had product sense. One day after the onsite, I got the offer.

      Domande di colloquio [1]

      Domanda 1

      Can't tell you the actual questions, but if you have basic machine learning knowledge and you prepare on the books "heard on wall street" (for the onsite) and "collection of takehome challenges" (for the takehome step) you are good. Everything is in those 2 books.
      Rispondi alla domanda
      59
      Nessuna offerta
      Esperienza positiva
      Colloquio facile

      Candidatura

      Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso LinkedIn (Dublino, Dublino)

      Colloquio

      All good, quick responses, had only hr call, hr was very friendly and helpful. Explained everything well. Didn’t make it to the second stage unfortunately. Was a dream job but here we go.

      Colloquio per Data Scientist

      9 feb 2024
      Candidato anonimo a colloquio
      Bengaluru
      Nessuna offerta
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho sostenuto un colloquio presso LinkedIn (Bengaluru)

      Colloquio

      2 tech round regarding some basic coding and Ai based questions 1 hr hr round. About strength weakness etc. Overall good Medium difficult Interviewers were very friendly and supportive. Dsa questions on arrays, searching, sorting

      Domande di colloquio [1]

      Domanda 1

      Dsa Array Binary search [0,0,0,1,1,1] from where 1 starts
      1 risposta

      Colloquio per Data Scientist

      29 gen 2024
      Candidato anonimo a colloquio
      New York, NY
      Nessuna offerta
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso LinkedIn (New York, NY)

      Colloquio

      It was quick, efficient, and not too challenging. I was asked 8 questions and the interview was more of a dialogue. It felt more like a conversation. I enjoyed it and would recommend applying to LinkedIn.

      Domande di colloquio [1]

      Domanda 1

      My biggest overcoming adversity story
      Rispondi alla domanda