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      Colloquio per Principal Data Scientist

      21 ott 2020
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza negativa
      Colloquio difficile

      Candidatura

      Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Zeeto nel mese di ott 2020

      Colloquio

      I went to on-line screen - answering 9 Data Science questions on a computer screening system; I liked that experience, as you could correct (re-record) your answers, and you feel more relaxed. There was a challenge after the screen - I had to spend a week doing this challenge; I have achieved 90% model accuracy; I felt that the bulk of work had been done. The dataset had 300,000 records, and it took 40 hours to train the model. In Jupyter Notebook I went through the solution in very detail, and I have explained next steps, etc. I had to present my findings to the team of three - first 30 minutes were more introductory behavioral questions. I felt that I addressed most questions they asked about the project - if I did not have a quick answer for some, then I could address them later; that was my understanding, since I had to be more involved with their line of business. I felt that my presentation went well - I showed the result. I have noticed few red flags though - The team, especially the hiring manager, did not show any support; she wore that stone face throughout the presentation, and it made me feel very uneasy; it especially hurts when you do not meet people in person and see them for the fist time - HR team did not do any screening, no question about salary expectation, etc. I had to wait for the response for 7 days, and HR did not bother to set up a call, just an email response to my request for feedback. He said something about "going in different direction" and that they are small (salary expectation?), and when I asked for a more substantial feedback, I have got some frivolous rejection reasons. Total waste of my time

      Domande di colloquio [1]

      Domanda 1

      The project with a lot of data processing work
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