Oklahoma City Thunder Data Scientist Interview Questions
The questions to prepare for a Oklahoma City Thunder Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Tests practical modeling skills and ability to implement a predictive workflow in R.
Oklahoma City ThunderTests your techniques for improving model learning under imbalanced data conditions.
Oklahoma City ThunderTests your ability to interpret statistical significance for decision-making in sports analytics.
Oklahoma City ThunderDiagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
Oklahoma City ThunderIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
Oklahoma City ThunderTests your ability to write efficient SQL for time-windowed player metrics.
Oklahoma City ThunderTests your ability to select evaluation metrics aligned with the business outcome.
Oklahoma City ThunderTests your product sense for defining measurable outcomes in sports analytics workflows.
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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