Children's Cancer Research Group Data Scientist Interview Questions
The questions to prepare for a Children's Cancer Research Group Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Identify major online experimentation pitfalls and explain practical mitigations for SRM, network effects, peeking, and novelty.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Identify missing and invalid longitudinal measurements using scheduled visits and measurement validation rules.
Diagnose a sudden post-rollout decline in a key patient outcome metric using validation, decomposition, and rollout analysis.
Compare interpretable and high-performing models for a high-stakes medical diagnostic tool while preserving safety and clinical trust.
Explain statistical significance, p-values, practical importance, and uncertainty to a non-technical stakeholder.
Calculate a chronological three-observation rolling average of patient satisfaction scores using a PostgreSQL window function.
Explain how you diagnosed a metric decline, separated competing hypotheses, and converted the findings into actions.
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