vidIQ Data Scientist Interview Questions
The questions to prepare for a vidIQ Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
vidIQExplain practical strategies for handling missing data and how to validate that the chosen approach improves model performance.
vidIQDiagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
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Identify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
vidIQFramework for deciding which data matters most when shaping a marketing strategy.
vidIQUse time-series decomposition and intervention analysis to tell normal seasonal movement from a true product problem.
vidIQTests SQL proficiency with window functions for cohort and retention analysis.
vidIQEvaluates your foundational NLP and SQL skills for analytics and modeling work.
vidIQCompute 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