Factual Data Scientist Interview Questions
The questions to prepare for a Factual Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Calculate each user's running order total over time using a window function.
FactualReason about sample size, power, and minimum detectable effect before launching an experiment.
FactualInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
FactualExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
FactualDesign an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
FactualFramework for choosing the right primary success metric for a new feature, including leading indicators, guardrails, and business alignment.
FactualExplain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.
FactualApproach for maintaining data quality and integrity across ETL pipelines.
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