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Tulk Data Scientist Interview Questions

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

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1
SQL & Data ManipulationStart here. 4 questions + 3 drills · ~63 min
Choosing Visualization Tools for SQL InsightsEasy

Explain which visualization tools you use after SQL analysis and why, based on audience, speed, and dashboard needs.

ToolsData WranglingAggregationsTulk
SQL Window Functions for InsightsMedium

Tests advanced SQL capability and ability to translate window logic into clearer analytics at Tulk.

Data AnalysisinsightsTulk
SQL and Excel Anomaly DetectionMedium
Practice
Practice drill

Identify invalid, duplicated, outlier, and chronologically inconsistent transit records using PostgreSQL.

large datasetsData Analysisdata anomalyNVIDIA
Find Data Inconsistencies in SQLHard
Practice
Practice drill

Identify missing visits, invalid dates or statuses, and incomplete measurement data in a PharmaACE study dataset.

missing valuesData QualityData WranglingPharmaACE
Detect Anomalies in DataMedium
Practice
Practice drill

Identify ByteDance platform days with event volumes outside configured minimum and maximum thresholds.

Data Analysisdata anomalydata validationByteDance
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2
Machine Learning4 questions · ~33 min
Ethics in Government Risk ScoringMedium

Tests ethical reasoning, fairness considerations, and responsible deployment for government-facing analytics at Tulk.

Tulk
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3
Behavioral & Leadership6 questions · ~49 min
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4
More topics6 questions · ~49 min
Design a Feature-Concept A/B StudyHard

Design an A/B test to compare two feature concepts, including hypothesis, metrics, power, and a pre-registered decision rule.

ExperimentationGuardrail MetricsA/B TestingTulk
Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical SignificanceTulk
Define Success Metrics for FeaturesMedium

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

North Star MetricLagging IndicatorsKPIsTulk
Monitoring Model Performance Over TimeHard

Tests production ML monitoring, drift detection, retraining strategy, and reliability practices at Tulk.

model performanceproduction environmentTulk
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 MismatchTulk
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