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      Rakuten

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      Data Scientist Interview

      16 Apr 2018
      Anonymous interview candidate
      Tokyo
      No offer
      Negative experience
      Average interview

      Application

      I applied through a recruiter. The process took 6 weeks. I interviewed at Rakuten (Tokyo) in Apr 2018

      Interview

      I went through a first few steps of Rakuten’s interview process which included online coding test, online video interview, making a presentation, and presenting my slides which interviewer could ask question about it and also some extra questions. Besides the fact the process is quite slow, in the last stage that I had to go through I finally got to speak to a person from Rakuten who is working there for about eight years. I didn’t feel like it’s a bad interview but I also felt this is just a formality that everyone needs to go through. The interviewer was basically reading questions from a list. After I finished presenting my self-introduction slides, I had a feeling that no matter how well I answered his questions, I was already judged for some reason and my chances are succeeding are remote. Also, I did not particularly his attitude about a certain question he asked. This is why I also had some doubts in accepting their offer even the outcome was positive. When someone asks what you think our business’s objective, I don’t believe in a million year you should answer “money”. It is obvious everyone wants to make money, who doesn’t!!But I value companies that their main objective is not just money, but rather it is also bringing value to society.

      Interview questions [10]

      Question 1

      Why do you want to change your company?
      Answer question

      Question 2

      What do you think we do in Rakuten Institute of Technology?
      Answer question

      Question 3

      What is your greatest strength?
      1 Answer

      Question 4

      What is your greatest weakness?
      Answer question

      Question 5

      What are you looking for in Rakuten?
      Answer question

      Question 6

      What do you think Rakuten’s main objective is?
      Answer question

      Question 7

      Why do you want to work for a big company like Rakuten?
      Answer question

      Question 8

      Where do you see yourself in 5-10 years?
      Answer question

      Question 9

      How would your colleagues describe you?
      Answer question

      Question 10

      What is the main quality that you can bring to Rakuten to contribute to the company?
      Answer question
      11

      Other Data Scientist interview reviews for Rakuten

      Data Scientist Interview

      1 Apr 2026
      Anonymous employee
      Accepted offer
      Negative experience
      Easy interview

      Application

      I interviewed at Rakuten

      Interview

      this interview process had 5 rounds 2 was a tech test 3 were conversational in nature with various managers from direct and indirect to the department manager mostly in Japan but also outside Japan.
      1

      Data Scientist Interview

      1 Oct 2025
      Anonymous interview candidate
      Tokyo
      No offer
      Neutral experience
      Easy interview

      Application

      I interviewed at Rakuten (Tokyo)

      Interview

      1st Interview was simple leetcode task and some questions about Kubernetes. 2nd interview - classical ML and DL questions, Final interview is mostly informal, but there may appear some questions about specific experience and problem solving

      Interview questions [1]

      Question 1

      What is the difference between random forest and boosting?
      Answer question

      Data Scientist Interview

      3 Sept 2025
      Anonymous interview candidate
      Tokyo
      No offer
      Neutral experience
      Average interview

      Application

      I interviewed at Rakuten (Tokyo)

      Interview

      Initial LeetCode coding test, hiring manager interview for profile and role fit, multiple technical rounds covering statistics, machine learning, SQL, Python, and case studies, concluding with behavioral interviews evaluating teamwork, communication, and cultural alignment.

      Interview questions [1]

      Question 1

      Statistics (p-value, hypothesis testing), ML (overfitting, bias-variance, metrics), SQL (joins, aggregations, ranking), Python (data cleaning, algorithms), Case studies (churn prediction, A/B testing, recommendation systems).
      Answer question

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