Dataford
Top 30
Prep plan
Updated weekly · Last refresh Aug 30

Tech(x) Data Scientist Interview Questions

The questions to prepare for a Tech(x) Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

30questions
~4htotal time
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1
Machine LearningStart here. 6 questions · ~49 min
Handle Imbalanced Classification DataMedium

Build a classifier for a highly imbalanced dataset and choose metrics, sampling, and thresholds that fit the minority class.

Cross-ValidationFeature EngineeringSupervised LearningTech(x)
Causal Inference Trade-offsMedium

Evaluates your understanding of assumptions, bias sources, and when methods are appropriate.

Trade-offsCausal InferenceModel EvaluationTech(x)
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2
A/B Testing & Experimentation5 questions · ~41 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 MismatchTech(x)
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingTech(x)
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3
Statistics & Probability5 questions · ~41 min
Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical SignificanceTech(x)
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4
Metrics3 questions · ~24 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 IndicatorsDiagnosisTech(x)
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5
SQL & Data Manipulation4 questions + 3 drills · ~63 min
Pandas Data WranglingMedium

Tests practical skills for transforming and cleaning large datasets with Pandas.

pandasData ManipulationData WranglingTech(x)
Top 5 Users by ActivityMedium
Practice
Practice drill

Identify Tech(x)'s five most active users with a date-filtered LEFT JOIN and grouped activity counts.

sql queryData Analysisuser engagementTech(x)
SQL Window Streak of QuickBooks LoginsMedium
Practice
Practice drill

Use ROW_NUMBER and date grouping to identify continuous QuickBooks login streaks by user.

Data Manipulationuser engagementIntuit
SQL Funnel Drop-Off AnalysisHard
Practice
Practice drill

Measure sequential Airbnb Homes funnel engagement and drop-off using CTEs, joins, aggregation, and LAG.

sql queryData Analysisuser engagementAirbnb
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6
Behavioral & Leadership6 questions · ~49 min
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7
More topics1 question · ~8 min
Recommender System for FeedMedium

Evaluates system design thinking for ranking and personalization at a high-scale web platform.

system architectureuser engagementTech(x)
The finish line: interview-readyComplete all 30 questions plus 3 hands-on drills to finish this plan.