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A tech startup Data Scientist Interview Questions

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

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1
Machine LearningStart here. 4 questions · ~32 min
Feature Engineering for New ModelsMedium

Explain a practical framework for feature engineering, from raw data review to validation of feature impact on held-out data.

Feature EngineeringModel EvaluationSupervised LearningA tech startup
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2
SQL & Data Manipulation6 questions + 3 drills · ~79 min
Handling Missing Data in SQLEasy

Explain practical SQL techniques for handling NULLs and missing values in product analysis without biasing metrics.

Data WranglingCase WhenAggregationsA tech startup
Analyzing Nursing Data with SQLHard
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Analyze CMS nursing staffing records by facility, handling missing data and classifying facilities against a staffing benchmark.

JoinsData Analysiscase studyClipboard Health
Present Kaggle-Style AnalysisMedium
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Analyze monthly completed transaction volume and return the top merchants using joins, aggregation, filtering, and ranking.

data cleaningJoinsData AnalysisVisa
Basketball Data Scenario AnalysisMedium
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Practice drill

Compare Oklahoma City Thunder three-point shooting and scoring margin across wins and losses.

JoinsData AnalysisCase WhenOklahoma City Thunder
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3
Statistics & Probability4 questions · ~32 min
Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical SignificanceA tech startup
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4
Behavioral & Leadership10 questions · ~81 min
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5
More topics9 questions · ~73 min
Design Test for Product LaunchMedium

Design an A/B test for a new digital product launch with clear metrics, power, guardrails, and a defensible ship decision.

experiment designGuardrail Metricsprimary metricsA tech startup
Discuss Model Evaluation TechniquesMedium

Explain your approach to model evaluation, including how you choose and interpret metrics for different ML problems.

PrecisionAccuracyRecallA tech startup
Define Success Metrics for FeaturesMedium

Set a clear north star, supporting KPIs, leading indicators, and guardrails for a new product feature.

North Star MetricLagging IndicatorsKPIsA tech startup
BERT vs GPT for NLPMedium

Assesses understanding of modern NLP model families and practical selection criteria.

A tech startup
System Design TradeoffsMedium

Evaluates ability to make and justify technical tradeoffs in a system design context.

case studyA tech startup
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