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Updated weekly · Last refresh Oct 17

Numerator Data Scientist Interview Questions

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

29questions
~4htotal time
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1
A/B Testing & ExperimentationStart here. 3 questions · ~26 min
Analyze Results of UX A/B TestMedium

Explain how you would design and analyze a UX A/B test, from hypothesis and power to guardrails and launch decision.

ExperimentationStatistical SignificanceA/B TestingNumerator
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 MismatchNumerator
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2
Metrics3 questions · ~26 min
Choose Metrics for New FeaturesEasy

Define a practical framework for selecting a north star, supporting KPIs, and leading indicators for a new product feature.

North Star MetricKPIsLeading IndicatorsNumerator
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3
Statistics & Probability3 questions · ~26 min
Choosing a Significance TestEasy

Explain how to choose an appropriate significance test based on metric type, study design, and the null hypothesis.

Confidence IntervalsHypothesis TestingStatistical SignificanceNumerator
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4
Machine Learning6 questions · ~51 min
Prevent Overfitting in ML ModelsEasy

Explain how to reduce overfitting using regularization, validation, and model selection.

Cross-ValidationBias-Variance TradeoffRegularizationNumerator
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5
SQL & Data Manipulation4 questions + 2 drills · ~54 min
6
Behavioral & Leadership8 questions · ~68 min
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7
More topics2 questions · ~17 min
Define Prelaunch Feature SuccessEasy

Define how to measure whether a new customer-facing feature will succeed before launch.

Success CriteriaUser NeedsValue PropositionNumerator
Common Model Evaluation MetricsEasy

Explain common machine learning evaluation metrics and when each is useful.

PrecisionAccuracyRecallNumerator

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