HII Data Scientist Interview Questions
The questions to prepare for a HII Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Approach for keeping data consistent during a legacy-to-new-platform migration, including validation, replay safety, and reconciliation.
HIIExplain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.
HIIDiagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
HIIExplain how to evaluate a classifier on imbalanced data, with focus on metrics that are more informative than accuracy.
HIIExplain how a primary metric differs from a guardrail metric and how both are used in A/B test decisions.
HIITests deep learning tooling and practical experience applying it to relevant problem types.
HIITests SQL window function fluency for time-based comparisons and trend analysis.
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Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Meta
Spotify
Meta ITCalculate each customer's cumulative transaction amount over time using a CTE and window function.
Banco Santander
Anz
Bank Of Tokyo-Mitsubishi UFJCalculate a rolling 7-day average of system error counts using window functions and date-based aggregation.
Datadog
Toyota
Agile Defense