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Updated weekly · Last refresh Oct 17

Didi Chuxing Data Scientist Interview Questions

The questions to prepare for a Didi Chuxing Data Scientist interview. Questions from real interview reports rank first. Updated daily.

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1
A/B Testing & ExperimentationStart here. 3 questions · ~25 min
2
Machine Learning8 questions · ~67 min
Feature Engineering for Predictive ModelsMedium

Explain how to choose, transform, and validate features for a predictive model using a structured ML workflow.

Cross-ValidationFeature EngineeringSupervised LearningDidi Chuxing
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3
Statistics & Probability3 questions · ~25 min
Choosing a Significance TestEasy

Explain how to choose an appropriate significance test based on metric type, study design, and the null hypothesis.

Confidence IntervalsHypothesis TestingStatistical SignificanceDidi Chuxing
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4
Behavioral & Leadership5 questions · ~42 min
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5
More topics6 questions · ~50 min
Design Real-Time User Data PipelineMedium

Design a real-time user data pipeline processing 400K events/sec from app events and CDC into Snowflake with under 2-minute latency.

InfrastructureStream ProcessingData ModelingDidi Chuxing
Ride-Hailing Metric Drop DiagnosisMedium

Tests ability to diagnose product metric drops using relevant data slices and causal hypotheses.

Data Analysisperformance metricsDidi Chuxing
SQL for Data ManipulationMedium

Tests practical SQL skills for transforming and analyzing data.

JoinsData WranglingAggregationsDidi Chuxing
Scale ML in ProductionHard

Tests your system design thinking for reliable, low-latency, and maintainable ML deployment.

Feature StoreFeature DriftModel ServingDidi Chuxing
Churn Prediction Case StudyMedium

Tests your end-to-end modeling approach for churn, including features, evaluation, and business impact.

User NeedsUse CasesProduct VisionDidi Chuxing
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 25 questions plus 3 hands-on drills to finish this plan.