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      Data Scientist Interview

      28 May 2016
      Anonymous interview candidate
      Declined offer
      Negative experience
      Average interview

      Application

      I applied through a recruiter. The process took 3 weeks. I interviewed at Flipkart

      Interview

      Initially there were two rounds of phone screening. They called for onsite interview in Bangalore. The interviewers were arrogant and questions were childish. Rather than considering a broad perspective, they were more focused on small things that they have used in their work.

      Interview questions [1]

      Question 1

      silly definitions like earth mover distance, etc.
      Answer question
      1

      Other Data Scientist interview reviews for Flipkart

      Data Scientist Interview

      26 Nov 2025
      Anonymous interview candidate
      Bengaluru
      No offer
      Neutral experience
      Easy interview

      Application

      I applied through a staffing agency. I interviewed at Flipkart (Bengaluru) in Nov 2025

      Interview

      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.

      Interview questions [1]

      Question 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.
      Answer question

      Data Scientist Interview

      21 Aug 2025
      Anonymous interview candidate
      Bengaluru
      No offer
      Neutral experience
      Average interview

      Application

      I applied through other source. I interviewed at Flipkart (Bengaluru)

      Interview

      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".

      Interview questions [1]

      Question 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.
      Answer question

      Data Scientist Interview

      3 Dec 2025
      Anonymous employee
      Bengaluru
      Accepted offer
      Positive experience
      Difficult interview

      Application

      I applied through university. The process took 4 weeks. I interviewed at Flipkart (Bengaluru) in Dec 2024

      Interview

      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.

      Interview questions [1]

      Question 1

      Basic ML, importance of hyper parameters, illustration of reducing and increasing those values.
      Answer question
      1

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