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Updated weekly · Last refresh Oct 17

Uber Drivers Applied Scientist Interview Questions

The questions to prepare for a Uber Drivers Applied Scientist interview. Questions from real interview reports rank first. Updated daily.

33questions
~5htotal time
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1
Machine LearningStart here. 4 questions · ~36 min
Detect Rare Payment FraudMedium

Build an imbalanced binary classifier for payment fraud detection using cost-sensitive learning, threshold tuning, and precision-recall evaluation.

Cross-ValidationFeature EngineeringSupervised LearningUber Drivers
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2
SQL & Data Manipulation3 questions + 2 drills · ~47 min
Filter Uber Driver Data in SQLEasy

Tests SQL proficiency for filtering and preparing Uber Drivers datasets for analysis.

sqlUber Drivers
Rolling 7-Day Active SupplyMedium
Practice
Recently asked
Practice drill

Calculate each city's rolling 7-day average of active driver supply, including zero-supply dates.

Window FunctionsDate Functionsnull handlingUber Drivers
Write SQL for Business TablesMedium
Practice
Recently asked
Practice drill

Summarize completed trip counts and fares per customer, including customers without completed trips.

JoinsCase WhensqlUberUber Drivers
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3
Statistics & Probability10 questions · ~89 min
Reduce Variance in ExperimentsMedium

Tests statistical techniques for improving experimental precision and reliability.

Uber Drivers
Minimum Wage and Driver PayMedium

Assesses statistical reasoning for pay impacts under policy changes at Uber Drivers.

case studyUber Drivers
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4
Coding3 questions · ~27 min
Parse GPS Idle vs ActiveHard
Practice

Parse GPS logs, classify idle and passenger-transport intervals by speed, and merge consecutive periods in one pass.

aggregationjson parsingloopsUber Drivers
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5
System Design5 questions · ~44 min
Minimize Restaurant Wait TimesHard

Tests optimization thinking across routing, batching, and operational constraints for Uber Drivers delivery.

solution designUber Drivers
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6
Behavioral & Leadership6 questions · ~53 min
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7
More topics2 questions · ~18 min
NLP for Support Ticket TriageMedium

Tests applied NLP modeling and operationalization for Uber Drivers support workflows.

Text ClassificationNLPTokenizationUber Drivers
Metrics for Dynamic PricingMedium

Tests metric design and evaluation for Uber Drivers supply-demand balancing.

Evaluation TechniquesClassificationModel MetricsUber Drivers
The finish line: interview-readyComplete all 33 questions plus 2 hands-on drills to finish this plan.