Dataford
Top 29
Prep plan
Updated weekly · Last refresh Aug 30

Carvana Data Scientist Interview Questions

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

29questions
~4htotal time
Track your progressSign up free to work through all 29 questions and resume where you left off.
Start practicing free →
1
Machine LearningStart here. 8 questions · ~65 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 TradeoffCarvana
More Machine Learning questions with a free account
2
Product Sense3 questions · ~24 min
Prioritize Features for a New ProductMedium

A framework for deciding which features should ship first when building a new product.

Feature PrioritizationUser Needsproduct developmentCarvana
More Product Sense questions with a free account

Sign up to see every question

Create a free account to unlock this list and practice real interview questions.

Get my prep plan
3
Metrics3 questions · ~24 min
Diagnose a Metric Drop After LaunchMedium

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisCarvana
More Metrics questions with a free account
4
Behavioral & Leadership7 questions · ~57 min
More Behavioral & Leadership questions with a free account
5
More topics8 questions · ~65 min
Testing a Conversion Rate DropMedium

Explain how to test whether an observed 5% conversion rate drop is statistically significant in an experiment or before-after comparison.

Hypothesis TestingData AnalysisStatistical SignificanceCarvana
Design an Installment-Flow ExperimentMedium

Design an A/B test for a new checkout installment-flow feature, including metrics, power, guardrails, and a disciplined ship decision.

ExperimentationHypothesis TestingA/B TestingCarvana
Check for Model OverfittingEasy

How to tell whether a model is overfitting using train and validation performance.

Cross-ValidationF1 ScoreAccuracyCarvana
Design a Cold Start RankerMedium

Design a recommendation and ranking system that handles cold start for both new users and new items without hurting feed quality.

Cold StartTwo-Tower ModelsRecommendation SystemsCarvana
7-Day Rolling Average with WindowsMedium

Tests proficiency with window functions and time-series rolling calculations.

Window FunctionsDate FunctionsRunning TotalsCarvana
More questions with a free account
Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
SQL for Operational PerformanceMedium
Practice
Practice drill

Use joins, conditional aggregation, and date filtering to measure Carvana location performance over the last 30 days.

Date FunctionsGroup ByAggregationsCarvana
SQL Window FunctionsMedium
Practice
Practice drill

Use LAG and LEAD to analyze Carvana vehicle detail page actions within completed web sessions.

Window FunctionssqlAAdastra GroupCarvana
Analyze Asana Onboarding Funnel DropoffHard
Practice
Practice drill

Use CTEs, joins, and conditional aggregation to measure 7-day onboarding funnel conversion and identify the biggest dropoff step.

Window FunctionsFunnel AnalysisDate FunctionsRipplingIntuitAsana
The finish line: interview-readyComplete all 29 questions plus 3 hands-on drills to finish this plan.