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Prep plan
Updated weekly · Last refresh Aug 30

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 weekly.

29questions
~4htotal time
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1
A/B Testing & ExperimentationStart here. 3 questions · ~25 min
2
Statistics & Probability3 questions · ~25 min
Interpreting P Values in TestingEasy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesDidi Chuxing
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3
Machine Learning8 questions · ~66 min
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffDidi Chuxing
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4
SQL & Data Manipulation3 questions + 3 drills · ~55 min
5
Product Sense3 questions · ~25 min
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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6
Behavioral & Leadership5 questions · ~41 min
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7
More topics4 questions · ~33 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
Scale ML in ProductionHard

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

Feature StoreFeature DriftModel ServingDidi Chuxing
Ride-Hailing Metric Drop DiagnosisMedium

Tests your metrics design and incident-style debugging skills using data and experimentation logic.

North Star MetricKPIsDiagnosisDidi Chuxing
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The finish line: interview-readyComplete all 29 questions plus 3 hands-on drills to finish this plan.