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      Entretien pour Senior Data Scientist

      29 mars 2018
      Candidat à l'entretien anonyme
      Bengaluru
      Aucune offre
      Expérience négative
      Entretien moyen

      Candidature

      J'ai postulé via une agence de recrutement. Le processus a pris 1 semaine. J'ai passé un entretien chez Clustr (Bengaluru) en déc. 2017

      Entretien

      Contacted by Recruitment Consultant for the role of Sr. DS. She informed that process will begin with a half-a-day interview with take-home case, which is to be presented later, say a day after. The case was ML problem of moderate difficulty involving an open data-set ~10GB size, which I think will involve around 8+ hours of candidate-time. On a later day, the candidate will have to present the case to the team. Then further rounds involving other stake-holders in DS vertical. 4-5 rounds in total I think. Later I got to know of no-hire decision from the recruitment-consultant. Strangely HR person from the company itself contacted about a month later, showing interest to interview for junior position i.e. DS role. I told HR clearly that I felt the Sr. DS process involved quite a bit of time investment from candidate, and that the company's role on updating the candidate of outcome (i.e. lack thereof) was unprofessional. Lastly, I budged in after he guaranteed that this time, the process won't take much time and I'd get prompt feedback. Alas, the company again put me through 3-4 rounds taking almost half a day. I didn't hear back from them for days despite the HR's assurance earlier that they'd be prompt on feedback. I didn't bother to check again with the company, having seen its unprofessional attitude, it's least regard towards candidate's time and vastly inefficient interview process. Regardless, I took up an Offer with a different firm in due course, and I'm glad that I didn't walk the path toiling on extreme text-data munging. PS: It'd be an easy-guess for the DS team to figure who wrote this; but at the end of the day, actions matter more than intentions, and in its entirety, the team's (not anyone in specific) actions were indeed lacking in professionalism. PPS: Ignore the typos please.

      Questions d'entretien [1]

      Question 1

      ML Projects you worked on, Corner-cases in ML like imbalanced-classes, Decision Tree and Random Forest algo differences
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      3