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Updated weekly · Last refresh Aug 30

Uber Drivers Data Scientist Interview Questions

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

34questions
~5htotal time
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1
A/B Testing & ExperimentationStart here. 5 questions · ~40 min
Experiment With Network Effects BiasHard
Recently asked

Tests experimental design choices under interference and network effects.

experiment designNetwork Effectsprimary metricsUber Drivers
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2
Machine Learning5 questions · ~40 min
Cumulative Sum Without PandasEasy
Recently asked

Tests core algorithmic ability to compute cumulative sums efficiently.

Data Manipulationpython basicsUber Drivers
Evaluate Imbalanced ClassificationMedium
Recently asked

Tests evaluation metrics, validation strategy, and production readiness for imbalanced models.

Model EvaluationClass ImbalanceproductionUber Drivers
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3
Statistics & Probability5 questions · ~40 min
Expected Earnings Under UncertaintyHard
Recently asked

Tests modeling expected earnings using probability distributions and surge dynamics.

DistributionsExpected ValueUber Drivers
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4
Product Sense4 questions · ~32 min
Root Cause for SF Cancellation SpikeHard
Recently asked

Tests structured diagnostic thinking using the right marketplace metrics for a sudden cancellation spike.

Metricsroot cause analysisUser NeedsUber Drivers
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5
SQL & Data Manipulation5 questions + 3 drills · ~70 min
SQL Joins and FilteringEasy

Assesses core SQL join and filtering skills for marketplace data prep.

JoinssqlUber Drivers
SQL for Sales and LogsHard
Practice
Practice drill

Aggregate completed Shopify sales and admin logins by merchant and month using CTEs, LEFT JOIN, and conditional logic.

case studysqlShopify
Reverse Rows in a DataFrameMedium
Practice
Practice drill

Reverse each Protium loan's repayment events using ROW_NUMBER while preserving chronological row details.

pandassqlPProtium
Average Vehicle Idle Time by ZoneHard
Practice
Practice drill

Use joins, a CTE, and aggregations to calculate average vehicle idle minutes in a specific geographic zone.

JoinsData ManipulationsqlWaymo
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6
Behavioral & Leadership7 questions · ~56 min
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7
More topics3 questions · ~24 min
Metric Hierarchy for Two-Sided MarketplaceHard
Recently asked

Tests ability to structure metrics across supply, demand, and outcomes for a marketplace.

North Star Metrickpi hierarchyUber Drivers
Fraud Risk Tradeoffs and Confusion MatrixMedium

Evaluates model evaluation judgment and communication under feedback for fraud risk decisions.

Confusion MatrixUber Drivers
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The finish line: interview-readyComplete all 34 questions plus 3 hands-on drills to finish this plan.