Penguin Random House Data Scientist Interview Questions
The questions to prepare for a Penguin Random House Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain an A/B test to a non-technical Bunge Limited stakeholder using effect size, uncertainty, business impact, and guardrails.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Design a defensible NPCI user engagement metric that captures meaningful usage, repeat behavior, and product value.
Explain how you diagnosed a metric decline, separated competing hypotheses, and converted the findings into actions.
Calculate daily sales and a date-based 30-day rolling average using PostgreSQL window functions.
Explain statistical significance, p-values, uncertainty, and practical importance to a non-technical audience.
Framework for deciding when to favor short-term conversion gains versus long-term retention in a product decision.
Explain how to profile, clean, and standardize missing or dirty data before analysis.
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Write a SQL query to identify the top 10% of creators based on engagement metrics over the last 30 days. Use the provided creators and creatorengagements ...
TikTokCount unique respondents by Python or R library and return the most commonly used libraries first.
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