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Updated weekly · Last refresh Aug 30

System2 Data Scientist Interview Questions

The questions to prepare for a System2 Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

29questions
~4htotal time
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1
MetricsStart here. 3 questions · ~24 min
Analyze New Feature EngagementMedium

Assess a new feature using adoption, activation, repeat usage, and retention metrics tied to user value.

Leading IndicatorsA/B TestingEngagement MetricsSystem2
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2
Machine Learning4 questions · ~33 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 TradeoffSystem2
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3
A/B Testing & Experimentation3 questions · ~24 min
Primary vs Guardrail MetricsEasy

Explain how a primary metric differs from a guardrail metric and how both are used in A/B test decisions.

ExperimentationGuardrail MetricsA/B TestingSystem2
Pitfalls in Streaming Experiment AnalysisHard

Identify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.

Network InterferenceNovelty EffectSample Ratio MismatchSystem2
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4
Statistics & Probability3 questions · ~24 min
Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical SignificanceSystem2
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5
Behavioral & Leadership13 questions · ~106 min
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6
More topics3 questions · ~24 min
Improve Predictive Model AccuracyMedium

Assess why a predictive model is missing accuracy targets and identify changes that would improve it.

Cross-ValidationAccuracyThreshold TuningSystem2
SQL Window Functions RankingHard

Tests advanced SQL window functions and correctness for cohort ranking and time-based running totals at System2.

Window FunctionsRankingRunning TotalsSystem2
Propose Investment OpportunitiesHard

Tests analytical reasoning, prioritization, and translating data into investment recommendations at System2.

User NeedsValue PropositionProduct VisionSystem2
Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
SQL Rolling Average and RankingHard
Practice
Practice drill

Use CTEs and window functions to calculate 7-day transaction averages and rank Loft users within each region.

Window FunctionsRankingRunning TotalsLoftArcadisCgi Nederland
Monthly Revenue Running Totals by RegionMedium
Practice
Practice drill

Use joins, monthly aggregation, and window functions to compute running revenue totals and customer rank by region.

Window FunctionsRankingRunning TotalsNTT DATAAppfolio
Rolling 7-Day SQL RankingMedium
Practice
Practice drill

Compute calendar-based 7-day signal averages and rank NASA instruments within each mission group.

Window FunctionsRankingRunning TotalsNASANextera Energy Resources
The finish line: interview-readyComplete all 29 questions plus 3 hands-on drills to finish this plan.