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      Entrevista de Data Scientist

      1 dic 2020
      Empleado anónimo
      Pune
      Oferta aceptada
      Experiencia positiva
      Entrevista difícil

      Solicitud

      Solicité el puesto a través de la escuela superior o la universidad. El proceso duró 2 días. Acudí a una entrevista en Flipkart (Pune) en dic 2020

      Entrevista

      There were two Tech interviews in the process Round1- Questions based on Machine Learning and internships done Round2- Case study on building Machine Learning pipeline Two students selected in the end by them

      Preguntas de entrevista [1]

      Pregunta 1

      Machine Learning questions(logistic regression, cross-entropy loss derivation)
      1 respuesta
      3

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

      Entrevista de Data Scientist

      26 nov 2025
      Candidato de entrevista anónimo
      Bengaluru
      Sin oferta
      Experiencia neutra
      Entrevista fácil

      Solicitud

      Solicité el puesto a través de una agencia de empleo. Acudí a una entrevista en Flipkart (Bengaluru) en nov 2025

      Entrevista

      Interview starts with basic introduction of my project and my family, followed by interview question related to sql join two tables customer and order table was given and I have write a query for all the joins 2) what is p-test and t-test? 3) what is random forest and clustering based scenario question.

      Preguntas de entrevista [1]

      Pregunta 1

      Interview starts with basic introduction of my project and my family, followed by interview question related to sql join two tables customer and order table was given and I have write a query for all the joins 2) what is p-test and t-test? 3) what is random forest and clustering based scenario question.
      Responder pregunta

      Entrevista de Data Scientist

      21 ago 2025
      Candidato de entrevista anónimo
      Bengaluru
      Sin oferta
      Experiencia neutra
      Entrevista normal

      Solicitud

      Solicité el puesto por otro medio. Acudí a una entrevista en Flipkart (Bengaluru)

      Entrevista

      To get a chance to participate in this coding rounds, we were asked to fill forms . the candidates and were short listed here on the basis of pointer ( 7.5 and above were all selected, for people with pointer 7 to 7.5, there projects and internships were taken into consideration to be allowed to appear in this round) 3 CODING questions in 90 mins on hackerrank. Q1 ) Was a simple question, all you had to do was find a PnC formula and just put the values in it to get the answer. Q2)Was based on array . This was a medium level question, 7/11 test case passed using brute force (O(n^2)). An accurate solution of which is actually in O (n), but i modified my code and managed to get all the 11 test cases right using just a slight modification in my brute force approach! Q3)A matrix was given, the solution to which was by applying BFS on it but not exactly that. I could not understand the problem enough as I was running out of time ! The name of the Question was "Marathon" and said was a lot similar to some other famour problem named "Rat in a maze".

      Preguntas de entrevista [1]

      Pregunta 1

      Circular tour https://www.geeksforgeeks.org/problems/circular-tour-1587115620/1 For this question i gave him a more optimized solution than brute force but with the same complexity, but he did not give me much time for this question as they were running late on schedule.
      Responder pregunta

      Entrevista de Data Scientist

      3 dic 2025
      Empleado anónimo
      Bengaluru
      Oferta aceptada
      Experiencia positiva
      Entrevista difícil

      Solicitud

      Solicité el puesto a través de la escuela superior o la universidad. El proceso duró 4 semanas. Acudí a una entrevista en Flipkart (Bengaluru) en dic 2024

      Entrevista

      Campus Recruitment There are three rounds in the process: Round 1: Fundamentals of Machine Learning, including supervised/unsupervised learning, evaluation metrics, feature engineering, regularization, and basic probability/statistics. Round 2: Problem-solving discussion focused on a real-world E-commerce scenario, covering data curation, system design at a high level, model selection, handling scale, and trade-off reasoning. Round 3: HR / Behavioral round, assessing communication, culture fit, teamwork, leadership experiences, motivations, and future goals.

      Preguntas de entrevista [1]

      Pregunta 1

      Basic ML, importance of hyper parameters, illustration of reducing and increasing those values.
      Responder pregunta
      1