Sift Data Scientist Interview Questions

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

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7-Day Rolling Active Users

Medium

Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.

Window FunctionsDate FunctionsRunning Totals

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Extreme Imbalance in Fraud Detection

Medium

Handle rare positive labels in ad fraud detection with the right sampling, loss design, validation, and thresholding strategy.

Feature Engineeringmodel trainingClass Imbalance

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Probability of False Positive Alert

Medium

Tests Bayesian reasoning and probability calculations for interpreting fraud alert performance.

Bayesian ReasoningPrecisionConditional Probability

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A/B Test for Risk Threshold

Hard

Tests experimental design and analysis for risk-threshold changes in a fraud prevention product.

experiment designGuardrail Metricsprimary metrics

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North Star Metric for Fraud Prevention

Medium

Tests product sense and KPI design aligned to outcomes for digital trust and safety.

North Star MetricKPIsProduct Vision

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Rolling Window Action Frequency

Hard

Tests data structures and streaming-window reasoning for real-time digital trust and safety signals at Sift.

Stream ProcessingmonitoringData Structures

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