BOLD Data Scientist Interview Questions
The questions to prepare for a BOLD Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
Share how you used data to shape a business decision, including the analysis, recommendation, and outcome.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Assesses ability to implement practical data cleaning and transformation with Python.
Evaluates understanding of experimental validity and significance testing.
Tests ML model selection rationale and understanding of ensemble methods.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
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Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.
HingeCCatalyst Operations & AnalyticsAAlight SolutionsCalculate three-day rolling passenger entry averages for TfL stations using aggregation and window functions.
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