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Robert Slack Data Scientist Interview Questions

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

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1
Machine LearningStart here. 9 questions · ~73 min
Bagging vs Boosting ExplainedMedium

Explain how bagging and boosting differ, and identify a representative algorithm for each ensemble method.

Ensemble Methodsmodel trainingSupervised LearningRobert Slack
Handle Highly Imbalanced ClassesMedium

Build a classifier for a highly imbalanced dataset and choose training and evaluation methods that surface rare positives.

Cross-ValidationFeature EngineeringSupervised LearningRobert Slack
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2
Statistics & Probability5 questions · ~41 min
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 TestingRobert Slack
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3
SQL & Data Manipulation3 questions + 3 drills · ~54 min
Rank Leads by Conversion ProbabilityMedium

Tests SQL windowing for grouped ranking and lead scoring workflows.

Window FunctionsRankingGroup ByRobert Slack
Rank Users by Cohort ActivityHard
Practice
Practice drill

Rank Alpaca users within signup cohorts by Q1 activity using LEFT JOIN, aggregation, and RANK().

Window FunctionsRankingGroup ByAlpacaQuantifind
Rank Campaigns by ROI Per RegionMedium
Practice
Practice drill

Aggregate Netflix campaign performance and rank campaigns by ROI within each region using a CTE and RANK().

Window FunctionsRankingGroup ByNianticNetflix
SQL Player Ranking by SpendMedium
Practice
Practice drill

Rank EA players by total spend within each region and return the top three using aggregation and ROW_NUMBER().

Window FunctionsRankingGroup ByElectronic Arts (Ea)
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4
Model Evaluation4 questions · ~32 min
Cost-Sensitive Model EvaluationMedium

Tests cost-sensitive evaluation choices and tradeoffs for predictive models in insurance contexts.

ClassificationThreshold TuningRobert Slack
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5
Behavioral & Leadership14 questions · ~113 min
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6
More topics5 questions · ~41 min
Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisRobert Slack
Define Feature Success MetricsMedium

Framework for choosing a feature's primary success metric and guardrails before launch.

MetricsFeature PrioritizationProduct VisionRobert Slack
A/B Testing With SeasonalityHard

Tests understanding of experiment validity under seasonality and correct statistical handling.

experiment designStatistical SignificanceseasonalityRobert Slack
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