Dataford
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Prep plan
Updated weekly · Last refresh Aug 30
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Marshmallow Data Scientist Interview Questions

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

31questions
~4htotal time
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1
Machine LearningStart here. 9 questions · ~73 min
Handling Imbalanced Fraud LabelsMedium

Explain how to train and evaluate models on highly imbalanced fraud data without relying on misleading accuracy.

Cross-ValidationFeature EngineeringSupervised LearningMMarshmallow
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2
Metrics6 questions · ~49 min
First Checks for Metric DropsEasy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosisMMarshmallow
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3
Behavioral & Leadership7 questions · ~57 min
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4
More topics9 questions · ~73 min
Statistical Significance in Hypothesis TestingEasy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical SignificanceMMarshmallow
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueMMarshmallow
Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchMMarshmallow
SQL Retention With Window FunctionsMedium

Tests practical SQL skills for cohort retention analysis using window functions.

Window Functionssql queryMMarshmallow
Pricing Model for New SegmentHard

Evaluates your system design for pricing under data scarcity, including validation and safeguards.

MMarshmallow
Evaluate Models With Long Feedback LoopsMedium

Assesses your evaluation design for delayed outcomes and how you avoid premature conclusions.

model performanceevaluation metricsfeedback loopMMarshmallow
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Identify Funnel Bottlenecks in OnboardingHard
Practice
Practice drill

Use joins, CTEs, and aggregations to find the weakest step in an onboarding funnel and estimate lost conversions.

Funnel AnalysissqlDiagnosisAtlassianRevolut
SQL Window Functions Moving AverageMedium
Practice
Practice drill

Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.

Window FunctionsData AnalysissqlAAreteMITREGlassdoor
Rolling 7-Day Incident AverageMedium
Practice
Practice drill

Calculate a calendar-aware 7-day average of Samsara incident counts using CTEs and window functions.

Window FunctionsData AnalysissqlSamsara
The finish line: interview-readyComplete all 31 questions plus 3 hands-on drills to finish this plan.