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Kivi Capital Data Scientist Interview Questions

The questions to prepare for a Kivi Capital Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

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Behavioral & LeadershipStart here. 5 questions · ~40 min
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More topics10 questions · ~80 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 TestingKKivi Capital
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 IndicatorsDiagnosisKKivi Capital
Memory vs Speed Trade-offsMedium

Tests practical systems thinking about performance, memory constraints, and production reliability.

production systemsKKivi Capital
Complexity for Delivery SolutionMedium

Tests ability to analyze algorithmic complexity and communicate performance implications clearly.

space complexitytime complexityKKivi Capital
Real-Time Data Ingestion at ScaleMedium

Tests experience designing ingestion pipelines for low-latency, high-throughput data systems.

scalabilitydata ingestionKKivi Capital
Statistical SignificanceMedium

Tests foundational statistics knowledge and correct interpretation of results.

Hypothesis TestingData AnalysisStatistical SignificanceKKivi Capital
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 MismatchKKivi Capital
Greedy vs Dynamic ProgrammingMedium

Tests ability to choose algorithms and reason about correctness and performance trade-offs.

Dynamic ProgrammingResource AllocationKKivi Capital
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
SQL Rolling Average and RankingHard
Practice
Practice drill

Use CTEs and window functions to calculate 7-day transaction averages and rank Loft users within each region.

Window FunctionsRankingRunning TotalsLoftArcadisCgi Nederland
Monthly Revenue Running Totals by RegionMedium
Practice
Practice drill

Use joins, monthly aggregation, and window functions to compute running revenue totals and customer rank by region.

Window FunctionsRankingRunning TotalsNTT DATAAppfolio
Rolling 7-Day SQL RankingMedium
Practice
Practice drill

Compute calendar-based 7-day signal averages and rank NASA instruments within each mission group.

Window FunctionsRankingRunning TotalsNASANextera Energy Resources
The finish line: interview-readyComplete all 15 questions plus 3 hands-on drills to finish this plan.