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Updated weekly · Last refresh Sep 20
1

1st Central Data Scientist Interview Questions

The questions to prepare for a 1st Central Data Scientist interview. Questions from real interview reports rank first. Updated daily.

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1
A/B Testing & ExperimentationStart here. 4 questions · ~33 min
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 Mismatch11st Central
Sample Size for ExperimentsMedium

Evaluates ability to plan experiments with appropriate power and detectable effect sizing.

experiment designSample Size11st Central
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2
Behavioral & Leadership4 questions · ~33 min
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3
More topics7 questions · ~58 min
Define Metrics for New FeaturesMedium

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

MetricsFeature Prioritizationuser value11st Central
Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical Significance11st Central
Handling Missing and Dirty SQL DataMedium

Explain how to profile, clean, and standardize missing or dirty data before analysis.

Data WranglingCase WhenQuality11st Central
Designing and Monitoring Product MetricsMedium

Tests ability to define robust product metrics and avoid misleading signals over time.

11st Central
Balancing Short and Long TermMedium

Assesses tradeoffs between near-term gains and sustainable outcomes for 1st Central customers.

11st Central
Diagnosing Conversion Metric DropsMedium

Tests structured root-cause analysis for conversion metric anomalies using data and instrumentation checks.

root cause analysisperformance metricsAnalysis11st Central
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Top Categories Over TimeMedium
Practice
Practice drill

Rank top product categories by revenue and units sold during a defined reporting period.

Date FunctionsJoinssql queryEEstée Lauder CompaniesWWMFAmazon Development Center U.S.
Handling 30% Missing Critical DataMedium
Practice
Practice drill

Audit critical-field completeness by application source and report missing-entry percentages.

missing valuesdata accuracyData WranglingAmerican Credit Acceptance
Normalize Messy CRM Contact DataHard
Practice
Practice drill

Clean inconsistent CRM contacts by joining source tables, standardizing values, and flagging bad records.

Data WranglingCase WhenQualityAlphaSense
The finish line: interview-readyComplete all 15 questions plus 3 hands-on drills to finish this plan.