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Kraken Digital Asset Exchange Data Scientist Interview Questions

The questions to prepare for a Kraken Digital Asset Exchange Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

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1
PipelinesStart here. 4 questions · ~33 min
Visualization Tools for Analytics PipelinesEasy

Discuss which visualization tools fit different analytics pipeline needs, and why warehouse integration and monitoring matter.

ToolsData ModelingQualityKraken Digital Asset Exchange
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2
Machine Learning3 questions · ~25 min
Model Trade-offs for VolatilityMedium

Tests model selection reasoning for forecasting volatility under market regime changes.

model selectionTrade-offsKraken Digital Asset Exchange
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3
Behavioral & Leadership6 questions · ~49 min
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4
More topics10 questions · ~82 min
Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical SignificanceKraken Digital Asset Exchange
A/B Test for Trading WorkflowMedium

Design an experiment for a new trading signal or workflow change, including metrics, power, randomization, and launch criteria.

experiment designGuardrail Metricsprimary metricsKraken Digital Asset Exchange
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 IndicatorsDiagnosisKraken Digital Asset Exchange
Prioritize User Problems with DataMedium

Framework for using product data to identify and prioritize the user problem that should be solved first.

Feature PrioritizationUser NeedsPain PointsKraken Digital Asset Exchange
Validate a Machine Learning ModelEasy

How to validate a machine learning model and interpret whether its metrics are trustworthy.

PrecisionAccuracyRecallKraken Digital Asset Exchange
SQL Window Functions for User BehaviorMedium

Tests SQL proficiency for time-based cohorting, rolling metrics, and behavioral analysis.

Window FunctionsData AnalysissqlKraken Digital Asset Exchange
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Top 10 Products SQL QueryEasy
Practice
Practice drill

Use date filtering, GROUP BY, SUM, and ORDER BY to find Artefact's top 10 products by sales last month.

sqlArtefactKraken Digital Asset ExchangeAmazon Development Center U.S.
SQL Window Functions Moving AverageMedium
Practice
Practice drill

Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.

Window FunctionsData AnalysissqlAAreteMITREGlassdoor
Rolling 7-Day Incident AverageMedium
Practice
Practice drill

Calculate a calendar-aware 7-day average of Samsara incident counts using CTEs and window functions.

Window FunctionsData AnalysissqlSamsara
The finish line: interview-readyComplete all 23 questions plus 3 hands-on drills to finish this plan.