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Updated weekly · Last refresh Aug 30

Acosta Data Scientist Interview Questions

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

18questions
~2htotal time
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1
Machine LearningStart here. 6 questions · ~49 min
Product Recommendation System DesignMedium

Design a recommendation system for a product catalog using retrieval, ranking, and feature engineering.

Cross-ValidationFeature EngineeringSupervised LearningAcosta
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffAcosta
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2
Statistics & Probability3 questions · ~25 min
Explaining Confidence IntervalsEasy

Explain what a confidence interval means and how to communicate it to a non-technical stakeholder.

Confidence IntervalsHypothesis TestingCommunicationAcosta
Mean and Variance CalculationEasy

Tests foundational statistics implementation and numerical correctness.

MathVarianceExpected ValueAcosta
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3
Metrics4 questions · ~33 min
Key Trends From User BehaviorMedium

Tests your ability to perform analysis that surfaces meaningful behavioral patterns.

Leading IndicatorsDiagnosisEngagement MetricsAcosta
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4
More topics5 questions · ~41 min
Handling Missing DataHard

Tests data quality handling and correct treatment of missingness.

Window FunctionsData WranglingCTEsAcosta
Making Findings ActionableMedium

Tests your translation of analysis into decisions and next steps for stakeholders.

StakeholdersAcosta
Model Performance MetricsEasy

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

PrecisionAccuracyRecallAcosta
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Identify Funnel Bottlenecks in OnboardingHard
Practice
Practice drill

Use joins, CTEs, and aggregations to find the weakest step in an onboarding funnel and estimate lost conversions.

Funnel AnalysissqlDiagnosisAtlassianRevolut
Analyze Decision Impact by RegionEasy
Practice
Practice drill

Use joins, CASE WHEN, and date filtering to compare outcome rates before and after a decision.

Data WranglingDiagnosisAggregationsHarbourVest Partners
Flag and Remove Duplicate CustomersMedium
Practice
Practice drill

Use a CTE and ROW_NUMBER to identify duplicate customer records, keep one row, and flag the rest.

Window FunctionsData WranglingCTEsMicrosoft
The finish line: interview-readyComplete all 18 questions plus 3 hands-on drills to finish this plan.