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      Búsquedas relacionadas: Opiniones sobre Tokopedia | Ofertas de empleos en Tokopedia | Sueldos en Tokopedia | Beneficios en Tokopedia
      Entrevistas de TokopediaEntrevistas para el puesto de Senior Data Scientist en TokopediaEntrevista de Tokopedia


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      Entrevista de Senior Data Scientist

      7 nov 2022
      Candidato de entrevista anónimo
      Sin oferta
      Experiencia positiva
      Entrevista normal

      Solicitud

      Solicité el puesto a través de la recomendación de un empleado. Acudí a una entrevista en Tokopedia en ago 2021

      Entrevista

      They have multiple rounds After 1st 2 rounds they take collaborative decision to move ahead with the interview or not 1st 2 rounds were purely based on statistics and ML algorithm

      Preguntas de entrevista [1]

      Pregunta 1

      How does Gradient Descent algorithm work
      Responder pregunta

      Otras opiniones sobre las entrevistas para el puesto de Senior Data Scientist en Tokopedia

      Entrevista de Senior Data Scientist

      3 dic 2022
      Empleado anónimo
      Yakarta
      Oferta aceptada
      Experiencia positiva
      Entrevista normal

      Solicitud

      Solicité el puesto a través de un captador. El proceso duró 2 semanas. Acudí a una entrevista en Tokopedia (Yakarta) en ago 2022

      Entrevista

      I was approached by a Talent Acquisition via LinkedIn. He asked me for my latest resume and processed my application. The 1st step was a quick discussion call with him via GMeet (All interviews were held via GMeet). He was really helpful even when suddenly I couldn't attend the discussion so he rearranged the schedule. What he asked, in general, was about my previous experiences, what I did there, what my core skills are, and any general questions. He said that the whole steps would HR interview, HackerRank test, 1st user interview with the prospective direct manager, 2nd user interview with the direct manager of the candidate's prospective direct manager, reference screening, and offer. I think the time it took between each step was relatively short. On the same day I finished the HR interview, he sent me a link to the HackerRank test. The test consisted of Python and SQL coding tests, and multiple-choice questions on the topic of DS/ML/DL. In parallel with the technical test, he said that his colleague would contact me to tell me about the 1st user interview. His colleague also answered me about anything I should prepare for the interview, such as questions to be anticipated, During the 1st interview, the interviewer introduced himself clearly. The interview was in English as he's not from Indonesia. The interview nuance was relaxed enough. He asked me about my previous experiences in more detail and technical. He also asked me about some theories (and the formulas if applicable) of data science and machine learning, e.g. what you would do when given noisy data (what preprocessing steps you would carry out), variance, covariance, correlation, recall, precision, F1-score, examples of when you need precision over recall and vice versa, what do you know about A/B test (what steps you should do), and some study cases. He also added my answers when he thought they were still lacking. A few days after, I had the 2nd user interview. This interview was also in English as the interviewer is not also from Indonesia. The interviewer was also nice to me as the interviewee. In the 2nd interview, the interviewer also asked about my previous experiences. All the questions he asked me were mainly at a higher level than in the previous interview. He also asked me if I had an experience where I wrote a custom loss function (could be from a paper) of a deep learning model. Just a few days after, I was informed that I passed all user interviews and the HR team asked for my personal documents for further processes.

      Preguntas de entrevista [1]

      Pregunta 1

      1st user interview: what you would do when given noisy data (what preprocessing steps you would carry out), variance, covariance, correlation, recall, precision, F1-score, examples of when you need precision over recall and vice versa, what do you know about A/B test (what steps you should do), and some study cases. 2nd user interview: mainly at a higher level than in the previous interview. He also asked me if I had an experience where I wrote a custom loss function (could be from a paper) of a deep learning model.
      Responder pregunta

      Entrevista de Senior Data Scientist

      1 feb 2024
      Empleado anónimo
      Noida
      Oferta aceptada
      Experiencia positiva
      Entrevista fácil

      Solicitud

      Solicité el puesto por otro medio. El proceso duró 2 semanas. Acudí a una entrevista en Tokopedia (Noida) en abr 2022

      Entrevista

      Process was very streamlined hackerrank round ( easy level Python & SQL questions + Machine learning MCQ) + 2 technical round + 1 HR round. HR was very co-operative all process completed within 2 weeks

      Preguntas de entrevista [1]

      Pregunta 1

      Total hackerrank round(easy level) + 3 round 1st -> Technical with hiring manager (questions on resume, case study to predict CTR, ROC-AUC curve, central limit theorem] 2nd -> With DS Lead [ questions on resume , classification metrics] 3rd -> HR discussion with basic behavioural questions
      Responder pregunta

      Entrevista de Senior Data Scientist

      23 jun 2022
      Empleado anónimo
      Yakarta
      Oferta aceptada
      Experiencia positiva
      Entrevista difícil

      Solicitud

      Envié una solicitud electrónica. El proceso duró 2 meses. Acudí a una entrevista en Tokopedia (Yakarta) en abr 2022

      Entrevista

      The interviews consists of HR interview followed by 2 user interview. The interviewers are very nice, they give us light on some concept that I don't have a full understanding, therefore I got some new knowledge, it was a very good experience.

      Preguntas de entrevista [1]

      Pregunta 1

      They asked about one of the project that I have done and they dig quite deeper about my understanding of some theoretical and technical stuff like data augmentation techniques, pros and cons of gradient descent, etc
      Responder pregunta

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