ThoughtWorks Data Scientist Interview Questions
The questions to prepare for a ThoughtWorks Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Assess common A/B test pitfalls and explain how they bias interpretation before deciding whether to trust the result.
Assesses decision-making under conflicting objectives and trade-offs in experimentation.
Tests ability to write correct SQL window functions for time-based metrics.
Evaluates practices for correctness, testing, and monitoring of SQL in production.
Define a success metric for a new feature that captures real user value, not just raw usage.
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Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.
Evaluates correct use of hypothesis testing and interpretation of results.
Evaluates understanding of dimensionality reduction and when it is appropriate.