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Updated weekly · Last refresh Aug 30

CVS Data Scientist Interview Questions

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

30questions
~4htotal time
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1
System DesignStart here. 3 questions · ~24 min
Design Cold Start for RecommendationsHard

Design a recommendation system strategy for model cold start and new-user cold start, including serving, evaluation, and safe rollout.

Cold StartRetrievalTwo-Tower ModelsCVS
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2
Metrics3 questions · ~24 min
Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisCVS
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3
Machine Learning3 questions · ~24 min
Feature Selection for Supervised ModelsMedium

Explain a practical feature selection process using validation, regularization, and model-based importance to improve generalization.

Cross-ValidationFeature EngineeringRegularizationCVS
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4
A/B Testing & Experimentation3 questions · ~24 min
Design and Reflect on A/B TestMedium

Describe an A/B test you ran, what question it answered, how you measured success, and what you learned from the results.

ExperimentationGuardrail MetricsA/B TestingCVS
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5
Product Sense3 questions · ~24 min
Improve Customer Retention at CVSHard

Tests your product analytics and modeling approach to retention improvement at CVS.

RetentionChurnProduct VisionCVS
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6
Behavioral & Leadership9 questions · ~73 min
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7
More topics6 questions · ~49 min
Evaluating Observed Lift SignificanceMedium

Explain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.

Confidence IntervalsStatistical SignificanceP-ValuesCVS
Retention Cohorts with SQLHard

Tests your ability to model cohort retention in SQL and interpret results.

Window FunctionsDate FunctionsCTEsCVS
Model Performance MetricsEasy

Tests your ability to choose metrics aligned to business and modeling goals.

PrecisionAccuracyRecallCVS
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Compare Signup Cohorts by RetentionHard
Practice
Practice drill

Use CTEs, joins, and date logic to compare 30-day activity rates across monthly signup cohorts.

Window FunctionsDate FunctionsCTEsGappifyDocusignJio
Compare User Retention by CohortHard
Practice
Practice drill

Use CTEs, joins, and month-based aggregation to calculate cohort retention over time from signup and activity data.

Window FunctionsDate FunctionsCTEsWorkdayAmazon Development Center U.S.The Sparks Foundation
Detect Post-Launch Customer Behavior ShiftsMedium
Practice
Practice drill

Use CTEs, joins, and conditional aggregation to compare customer orders before and after a product launch.

Window FunctionsDate FunctionsCTEsQuoraMotiveIntuit
The finish line: interview-readyComplete all 30 questions plus 3 hands-on drills to finish this plan.