Retina AI Data Scientist Interview Questions

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

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Measure Marketing Campaign Incrementality

Medium

Design an incrementality test for a new customer marketing campaign with explicit MDE, guardrails, power, and rollout criteria.

ExperimentationHypothesis TestingGuardrail Metrics

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Diagnose Sample Ratio Mismatch Test

Medium

Design an onboarding A/B test with explicit SRM detection, power analysis, guardrails, and a decision rule for whether results are valid.

ExperimentationStatistical SignificanceSample Ratio Mismatch

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Handle Highly Imbalanced Classes

Medium

Build a classifier for a highly imbalanced dataset and choose training and evaluation methods that surface rare positives.

Cross-ValidationFeature EngineeringSupervised Learning

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SQL Rolling Purchase Average

Medium

Tests your proficiency with SQL window functions for time-based aggregations and feature computation.

Window FunctionsDate FunctionsRunning Totals

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CLV With Limited History

Hard

Tests your evaluation strategy for CLV models under data scarcity and uncertainty.

Evaluation Techniquescustomer lifetime valueModel Metrics

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Retention Product Metrics

Medium

Tests your ability to translate retention objectives into measurable product and ML metrics.

MetricsRetentionuser value

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