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Applied Data Science Partners Data Scientist Interview Questions

The questions to prepare for a Applied Data Science Partners Data Scientist interview. Questions from real interview reports rank first. Updated daily.

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1
Behavioral & LeadershipStart here. 4 questions · ~40 min
Owning a High-Impact Data ProjectEasy

Tests ownership, stakeholder management, and how clearly you can explain a past data science project with measurable impact.

backgroundrecent projectstechnical experienceAApplied Data Science Partners
Leading an Ambiguous Technical ProjectMedium

Tests leading through technical ambiguity by creating clarity, prioritizing decisions, and driving aligned execution under uncertainty.

technical ambiguityLeadershipProject ManagementAApplied Data Science Partners
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2
More topics6 questions · ~60 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
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
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
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
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

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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 10 questions plus 2 hands-on drills to finish this plan.