The Broad Institute Data Scientist Interview Questions
The questions to prepare for a The Broad Institute Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Investigate whether a performance decline is seasonal or a real product issue.
The Broad InstituteA framework for deciding which features should ship first when building a new product.
The Broad InstituteCompute the mean and standard deviation of a dataset, and distinguish the sample standard deviation from the population version.
The Broad InstituteExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
The Broad InstituteTests proficiency with window functions for analytics and grouped calculations.
The Broad InstituteCalculate daily session-level funnel conversion rates using CTEs, CASE WHEN, and date functions.
Build a daily series and compute a 30-day trailing moving average of task bookings using window functions.
TaskRabbit
RBCRank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
WaymoIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
The Broad InstituteAssess whether a model has real predictive power using validation performance, calibration, and threshold behavior.
The Broad InstituteTests data quality reasoning and reconciliation across heterogeneous sources.
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