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Cambridge Mobile Telematics Data Scientist Interview Questions

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

39questions
~6htotal time
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1
SQL & Data ManipulationStart here. 4 questions + 1 drill · ~44 min
SQL Running Totals and Moving AveragesMedium
Practice

Use PostgreSQL window functions to calculate driver running totals and 30-day moving averages for confirmed harsh-braking events.

Running TotalsCambridge Mobile Telematics
SQL Funnel Drop-Off AnalysisHard
Practice
Practice drill

Measure sequential Airbnb Homes funnel engagement and drop-off using CTEs, joins, aggregation, and LAG.

sql queryData Analysisuser engagementAirbnb
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2
Machine Learning10 questions · ~86 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 TradeoffCambridge Mobile Telematics
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3
Statistics & Probability6 questions · ~52 min
Evaluating Driver Safety ProgramsHard

Tests study design choices for evaluating driver safety interventions using telematics data.

ExperimentationHypothesis TestingA/B TestingCambridge Mobile Telematics
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4
Product Sense3 questions · ~26 min
Define Feature Rollout SuccessMedium

Evaluates how you translate telematics outcomes into partner-facing rollout success criteria.

Risk Assessmentsuccess metricsCambridge Mobile Telematics
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5
A/B Testing & Experimentation3 questions · ~26 min
A/B Testing Pitfalls PracticeMedium

Evaluates your understanding of common experiment failure modes and how to reason about them.

data integrityCambridge Mobile Telematics
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6
Behavioral & Leadership7 questions · ~60 min
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7
More topics6 questions · ~52 min
Real-Time Telematics Processing SystemHard

Tests system design for low-latency data ingestion, processing, and analytics on telematics streams.

InfrastructureStream ProcessingData ModelingCambridge Mobile Telematics
Validating with Noise and AnomaliesMedium

Tests model evaluation under imperfect real-world data conditions.

Cross-ValidationCalibrationAccuracyCambridge Mobile Telematics
Deep Dive Project and System DesignHard

Assesses end-to-end project reasoning and your ability to design systems under constraints.

system designCambridge Mobile Telematics
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The finish line: interview-readyComplete all 39 questions plus 1 hands-on drill to finish this plan.