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      Búsquedas relacionadas: Evaluaciones de ThinkBumblebee Analytics | Empleos en ThinkBumblebee Analytics | Sueldos en ThinkBumblebee Analytics | Prestaciones en ThinkBumblebee Analytics
      Entrevistas en ThinkBumblebee AnalyticsEntrevistas para el cargo de Data Scientist en ThinkBumblebee AnalyticsEntrevista en ThinkBumblebee Analytics


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      Entrevista para Data Scientist

      10 ene 2022
      Candidato de entrevista anónimo
      Oferta rechazada
      Experiencia negativa
      Entrevista promedio

      Solicitud

      Acudí a una entrevista en ThinkBumblebee Analytics

      Entrevista

      30 minutes of the technical round on python based questions for data science. Felt like interviewer was not ready with set of questions and googled all questions before start of the interview

      Preguntas de entrevista [1]

      Pregunta 1

      what are lists in python what are dictionaries in python
      Responder pregunta
      avatar
      Respuesta de ThinkBumblebee Analytics
      4y
      Hi - We understand that this has been a negative experience for you and we take responsibility for the same. We are currently working to improve our selection processes and reduce such gaps. We thank you for sharing your experience and letting us know how we need to become better as a team and company. Regards, People Practice Team

      Otras evaluaciones sobre las entrevistas para el cargo de Data Scientist en ThinkBumblebee Analytics

      Entrevista para Data Scientist

      14 dic 2021
      Candidato de entrevista anónimo
      Sin ofertas
      Experiencia negativa
      Entrevista promedio

      Solicitud

      Me postulé en línea. El proceso tomó 1 semana. Acudí a una entrevista en ThinkBumblebee Analytics

      Entrevista

      Review for the HRs- 5 rounds of interviews were conducted over 1 week. Got verbal assurance from HR for the offer letter. They also took personal documents for the offer letter. Suddenly, they started giving excuse the next day and started delaying the process of sending offer letter. Liked the tech stack, but poor communication by both the HRs jeopardized everything. They kept on giving false hope; thank God, I moved on with other company. Review for the Data Science interviewer- Expected more technically sound questions during the Data Science interview round. Most were too easy. Also felt the interviewer, didn't have much idea on some of the topics.

      Preguntas de entrevista [1]

      Pregunta 1

      Most of them related to the ML projects, Also live coding Python questions
      Responder pregunta
      1
      avatar
      Respuesta de ThinkBumblebee Analytics
      4y
      Hi - We understand that this has been a negative experience for you and we take responsibility for the same. We ensure that candidates are given feedback within the same day of the interview. This sometimes can work against us, if there are changes in other related processes. Also, our Interviewers believe that if the basics are strong, then people can always learn and build on them. This is also our philosophy since we operate in a space where there are tremendous business and technology changes at a very high pace. Having said that, we are currently working to improve processes and reduce such gaps. We hope to correct these kinds of experiences for all candidates who interact with us, even when they are just short conversations. We thank you for sharing your experience and letting us know how we need to become better as a team and company. We wish you all the best! Regards, People Practice Team

      Entrevista para Data Scientist

      5 nov 2020
      Empleado anónimo
      Pune
      Oferta aceptada
      Experiencia positiva

      Solicitud

      Me postulé a través de otra fuente. El proceso tomó más de 1 semana. Acudí a una entrevista en ThinkBumblebee Analytics (Pune) en dic 2017

      Entrevista

      There's a pre-screening round with HR and then a technical round, followed by a project manager. Technical questions definitely need intermediate level domain understanding. Also needs skills on building, fine tuning and deploying the model on production workloads. More of ML engineering than core data science theory.

      Preguntas de entrevista [1]

      Pregunta 1

      What are the feature selection methods used to select the right variables?
      Responder pregunta
      1