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Applied Data Science Partners Interview Questions

The questions to prepare for Applied Data Science Partners interviews, across all roles. Questions from real interview reports rank first. Updated daily.

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1
Behavioral & LeadershipStart here. 5 questions · ~48 min
Explaining a Technical Concept ClearlyEasy

Tests communication, ownership, and stakeholder management when translating technical complexity into actionable business understanding.

Problem SolvingData Structurestechnical fundamentalsAApplied Data Science Partners
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2
More topics7 questions · ~68 min
SQL Window Functions Rolling AverageMedium
Practice

Calculate three-day rolling average sales by region using aggregation, joins, and PostgreSQL window functions.

Window FunctionssqlAApplied Data Science Partners
Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchAApplied Data Science Partners
Balance Debt and Feature DeliveryMedium

Explain how you prioritize technical debt versus feature work while aligning stakeholders and protecting delivery speed.

Trade-offsScope ManagementPrioritizationAApplied Data Science Partners
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueAApplied Data Science Partners
Determining A/B Test SignificanceMedium

Explain how to evaluate whether an A/B test result is statistically significant and how to interpret the result.

marketing experimentStatistical SignificanceAnalysisAApplied Data Science Partners
Statistical vs Practical SignificanceMedium

Explain why a statistically significant experiment result may still be too small to matter for product or business decisions.

Confidence IntervalsExperimentationHypothesis TestingAApplied Data Science Partners
Network Interference in Collaboration TestMedium

Explain when network interference threatens an A/B test, how it biases estimates, and how to redesign the experiment safely.

Network InterferenceExperimentationA/B TestingAApplied Data Science Partners

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
SQL Window Functions Moving AverageMedium
Practice
Practice drill

Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.

Window FunctionsData AnalysissqlAAreteSShyena Tech YarnsAATB Financial
Running Average With Window FunctionsEasy
Practice
Practice drill

Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.

Window FunctionsData AnalysissqlHingeAAlight SolutionsTTikTok USDS JV
The finish line: interview-readyComplete all 12 questions plus 2 hands-on drills to finish this plan.