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Prep plan
Updated weekly · Last refresh Sep 21

Suno Data Scientist Interview Questions

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

23questions
~3htotal time
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1
System DesignStart here. 4 questions · ~33 min
Design Cold Start RecommendationsHard

Design a recommendation system strategy for new users and new items when interaction history is sparse or missing.

Cold StartFeature StoreRecommendation SystemsSuno
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2
A/B Testing & Experimentation4 questions · ~33 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 TestingSuno
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3
Machine Learning3 questions · ~25 min
Handling Bias in User-Generated ContentHard

Design a practical process to detect and reduce bias when training models on user-generated Suno content.

data preprocessingfairnessModel EvaluationSuno
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4
Behavioral & Leadership6 questions · ~49 min
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5
More topics6 questions · ~49 min
Statistical Tools for User AnalysisEasy

Explain the main statistical tools used to analyze user data and when each is appropriate.

RegressionCorrelationHypothesis TestingSuno
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 IndicatorsDiagnosisSuno
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualitySuno
Beyond Click-Through MetricsHard

Identify metrics beyond CTR to measure whether Suno recommendations create meaningful discovery, music creation, satisfaction, and retention.

product metricsMetricsfeature evaluationSuno
SQL Window Functions for EngagementMedium

Tests practical SQL skills for time-based and cohort engagement analysis.

Window FunctionsData AnalysissqlSuno
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Top Users SQL QueryMedium
Practice
Practice drill

Count valid daily interactions and return the top three users using aggregation and deterministic ranking.

data cleaningDate FunctionsGroup By
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 AnalysissqlAAreteEEvalueserveSShyena Tech Yarns
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 AnalysissqlHingeCCatalyst Operations & AnalyticsAAlight Solutions
The finish line: interview-readyComplete all 23 questions plus 3 hands-on drills to finish this plan.