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Updated weekly · Last refresh Aug 30

Brady Data Scientist Interview Questions

The questions to prepare for a Brady Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

28questions
~4htotal time
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1
Machine LearningStart here. 5 questions · ~41 min
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffBrady
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2
Metrics3 questions · ~24 min
Diagnose a Metric Drop After LaunchMedium

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisBrady
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3
A/B Testing & Experimentation3 questions · ~24 min
Power Conversion Checkout TestMedium

Estimate sample size for a checkout conversion A/B test, define MDE and guardrails, and specify a valid ship decision under traffic and time limits.

MDEPower AnalysisSample SizeBrady
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4
Behavioral & Leadership9 questions · ~73 min
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5
More topics8 questions · ~65 min
Choosing Classification Evaluation MetricsEasy

Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.

PrecisionAccuracyRecallBrady
Statistical vs Practical SignificanceMedium

Explain why a statistically significant experiment result may still be too small to matter for product or business decisions.

Confidence IntervalsExperimentationHypothesis TestingBrady
Python Data Cleaning ScriptMedium

Tests practical data preparation skills using Python for analysis-ready datasets.

Data WranglingETLQualityBrady
Define Metrics and a North StarMedium

Evaluates your product analytics thinking and metric selection for Brady business outcomes.

North Star MetricKPIsProduct VisionBrady
Top Products by Region Over TimeMedium

Tests your SQL window function skills for time-based ranking and analytics.

Window FunctionsRankingRunning TotalsBrady
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
Top Daily Rides by VehicleMedium
Practice
Practice drill

Rank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.

Window FunctionsJoinsData WranglingWaymo
Analyze Decision Impact by RegionEasy
Practice
Practice drill

Use joins, CASE WHEN, and date filtering to compare outcome rates before and after a decision.

Data WranglingDiagnosisAggregationsHarbourVest Partners
The finish line: interview-readyComplete all 28 questions plus 3 hands-on drills to finish this plan.