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Updated weekly · Last refresh Aug 30

ID Analytics Data Scientist Interview Questions

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

50questions
~7htotal time
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1
SQL & Data ManipulationStart here. 6 questions + 1 drill · ~61 min
2
Machine Learning16 questions · ~137 min
Predict Customer ChurnMedium

Build a churn model that flags at-risk customers early using behavioral, billing, and support signals.

Feature EngineeringModel EvaluationSupervised LearningID Analytics
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3
A/B Testing & Experimentation5 questions · ~43 min
Primary vs Guardrail MetricsEasy

Explain how a primary metric differs from a guardrail metric and how both are used in A/B test decisions.

ExperimentationGuardrail MetricsA/B TestingID Analytics
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4
Pipelines3 questions · ~26 min
Backfilling Missing Pipeline DataMedium

Approach for safely backfilling missing data while preserving correctness, idempotency, and data quality.

ETLQualityID Analytics
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5
Model Evaluation3 questions · ~26 min
Explain Core Classification MetricsEasy

Explain precision, recall, F1-score, and ROC-AUC for a classification model.

F1 ScorePrecisionAUC-ROCID Analytics
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6
Statistics & Probability4 questions · ~34 min
Interpreting Significance in ExperimentsMedium

Explain statistical significance in experiments and how p-values and confidence intervals guide interpretation.

Confidence IntervalsStatistical SignificanceP-ValuesID Analytics
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7
More topics13 questions · ~111 min
Metrics for Retention ModelsMedium

Define the core model and business metrics for a customer retention model, from churn prediction quality to retention impact.

RetentionKPIChurnID Analytics
Feature Store for Fraud RiskHard

Evaluates system design choices for reusable, consistent features in fraud-risk modeling.

Feature StoreFeature DriftModel ServingID Analytics
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The finish line: interview-readyComplete all 50 questions plus 1 hands-on drill to finish this plan.