Rakuten Kobo Data Scientist Interview Questions
The questions to prepare for a Rakuten Kobo Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain statistical significance in plain language, then connect it to p-values, uncertainty, MDE, and an experiment decision.
Explain how to design, power, monitor, and analyze an A/B test so its conclusions are statistically and practically valid.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Tests ownership, self-awareness, recovery, and learning from a project failure.
Calculate each customer's 7-day rolling average purchase amount using a date-based window frame.
Assess whether a new feature changed user engagement using a clear metric definition, comparison design, and guardrails.
Explain statistical significance, p-values, uncertainty, and practical importance to a non-technical audience.
Identify the causes of a quarterly engagement decline through metric validation, decomposition, segmentation, and trend analysis.
Sign up to see every question
Create a free account to unlock this list and practice real interview questions.
Rank users by weekly activity within each cohort, including ties and chronological weekly ordering.
PluralsightCalculate daily test positivity and its rolling 7-day average for each patient cohort.
Grail