Flatiron School Data Scientist Interview Questions
The questions to prepare for a Flatiron School Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Estimate sample size and power for an experiment, define MDE and guardrails, and decide whether the test is worth running.
Flatiron SchoolExplain how to reduce overfitting using regularization, validation, and model selection.
Flatiron SchoolInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
Flatiron SchoolCompare monthly SparkBeyond user retention by cohort using CTEs, date arithmetic, aggregation, and LAG window functions.
Flatiron SchoolPick the right metrics to evaluate a machine learning model and explain why they fit the problem.
Flatiron SchoolExplain what a p-value means in hypothesis testing and how it relates to statistical significance.
Flatiron SchoolCompare batch and streaming data processing, including when each fits best in a pipeline.
Flatiron SchoolTests understanding of engagement drivers and how you would measure and improve learning experiences.
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