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      Le migliori aziende per "stipendio e benefit" vicino a te

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      DONE by NONE
      3.8★Stipendio e benefit
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      Digital Natives
      4.4★Stipendio e benefit

      Colloquio per Data Scientist

      16 mag 2020
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza negativa
      Colloquio difficile

      Candidatura

      Ho presentato la mia candidatura online. La procedura ha richiesto 2 mesi. Ho sostenuto un colloquio presso Mobilewalla

      Colloquio

      First had an hour long call with the DS head. He connected from another country and we discussed about my background and projects. I was moved on to next round of technical interview the same week. I had a zoom call with 2 fell DS team members and they grilled me with all possible technical question, most which I answered. Questions were based on Data science related, machine learning, bias, variance, overfitting issues, ML models, elbow method, model deployment, etc. The call lasted for more than 2 hours. After a week, I was sent a take home assignment. It was one of the grueling projects I have ever worked on. I was given 7 days to submit. We have to come up with news ways of tackling the data and traditional methods wont work. It had 2 parts in it. Maybe they wanted someone to work for free to solve their issue or something.. After strenuously working on the assignment, sent it. But I didn't hear back from them. after 2 weeks, 4 weeks, 6 weeks, no response. COVID-19 hit USA and they had a good reason to give - business not good, so not hiring now!! Tremendous waste of time giving the interview and doing the assignment! Dont ever apply to this company. Worst thing is they wont even give you the right reason for not selecting you!

      Domande di colloquio [1]

      Domanda 1

      hadoop mapreduce stored procedure sas coalesce in sql lambda function in python hadoop namenode data node hash join vs merge join sql - What is the difference between a hash join and a merge join (Oracle RDBMS )? - outliers identification in ml algorithm performance metrics - Precision, recall, which is better k means clustering elbow method Ensemble methods: bagging, boosting and stacking bagging vs boosting naive bayes algorithm algorithm - What is "naive" in a naive Bayes classifier?
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