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Kraken Technology Group Data Scientist Interview Questions

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

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1
A/B Testing & ExperimentationStart here. 4 questions · ~35 min
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 TestingKKraken Technology Group
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 MismatchKKraken Technology Group
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2
Behavioral & Leadership4 questions · ~35 min
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3
More topics9 questions · ~78 min
SQL Window Functions Moving AverageMedium
Practice

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

Window FunctionsData AnalysissqlKKraken Technology Group
Real-Time Dashboard Data PipelineMedium

Design a streaming pipeline that keeps dashboard data fresh and accurate for operational reporting.

InfrastructureStream ProcessingOrchestrationKKraken Technology Group
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueKKraken Technology Group
Diagnose a Metric Drop After LaunchMedium

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisKKraken Technology Group
Defining Statistical SignificanceEasy

Assesses foundational understanding of statistical significance.

Confidence IntervalsStatistical SignificanceP-ValuesKKraken Technology Group
Cleaning High-Frequency Financial DataMedium

Tests your data engineering fundamentals for reliable modeling and analysis on noisy time-series data.

data preparationdata cleaningKKraken Technology Group
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
Top 10% Customers by VolumeHard
Practice
Practice drill

Identify the highest-volume customers from the last completed quarter using joins, aggregation, and deterministic ranking.

Window FunctionsDate FunctionsAggregationsYes BankBank Of America Merrill LynchAAngel One
Running Average With Window FunctionsEasy
Practice
Practice drill

Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.

Window FunctionsData AnalysissqlHingeCCatalyst Operations & AnalyticsAAlight Solutions
The finish line: interview-readyComplete all 17 questions plus 2 hands-on drills to finish this plan.