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 weekly.
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 SchoolExplain precision, recall, F1-score, and ROC-AUC for a classification model.
Flatiron SchoolCompare batch and streaming data processing, including when each fits best in a pipeline.
Flatiron SchoolExplain what a p-value means in hypothesis testing and how it relates to statistical significance.
Flatiron SchoolTests understanding of engagement drivers and how you would measure and improve learning experiences.
Flatiron SchoolTests ability to compute time-based cumulative metrics using SQL window functions.
Flatiron SchoolSign up to see every question
Create a free account to unlock this list and practice real interview questions.
Use LAG and window functions to identify the slowest stage in the fulfillment chain.
InstacartUse window functions to flag device ping spikes, drops, and missing-day gaps in daily telemetry.
AthelasClean messy Quora event logs with CTEs and joins, then aggregate valid daily events, users, and question views by surface.
Quora