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Updated weekly · Last refresh Aug 30

Excella Data Scientist Interview Questions

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

43questions
~6htotal time
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1
Machine LearningStart here. 7 questions · ~57 min
2
Statistics & Probability4 questions · ~33 min
Sample Size and Power PlanningMedium

Reason about sample size, power, and minimum detectable effect before launching an experiment.

Hypothesis TestingPower AnalysisSample SizeExcella
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3
A/B Testing & Experimentation4 questions · ~33 min
Detect Interference in Ops ExperimentHard

Assess whether interference between nearby units could bias an operations experiment and how to test for it.

Network InterferenceExperimentationCausal InferenceExcella
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4
SQL & Data Manipulation5 questions + 3 drills · ~71 min
5
Product Sense4 questions · ~33 min
Recommend Improvements from Customer DataMedium

Use customer data to identify the highest-impact product improvements and decide what to build first.

Feature PrioritizationUser NeedsValue PropositionExcella
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6
Behavioral & Leadership10 questions · ~82 min
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7
More topics9 questions · ~74 min
Choosing Classification Evaluation MetricsEasy

Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.

PrecisionAccuracyRecallExcella
Design Feature Drift Monitoring SystemHard

Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.

Feature StoreFeature DriftModel ServingExcella
Define Success Metrics for FeaturesMedium

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

North Star MetricLagging IndicatorsKPIsExcella
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