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Updated weekly · Last refresh Aug 30

Sovrn Data Scientist Interview Questions

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

30questions
~4htotal time
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1
Machine LearningStart here. 5 questions · ~44 min
Handling Missing Data in MLMedium

Explain practical strategies for handling missing data and how to validate that the chosen approach improves model performance.

Feature EngineeringData WranglingSupervised LearningSovrn
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2
A/B Testing & Experimentation3 questions · ~26 min
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingSovrn
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3
Metrics3 questions · ~26 min
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 IndicatorsDiagnosisSovrn
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4
Product Sense4 questions · ~35 min
Define Success for Ads ProductEasy

Framework for defining success for a new advertising product, balancing revenue, user experience, and long-term marketplace health.

Value PropositionMVPProduct VisionSovrn
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5
Behavioral & Leadership10 questions · ~88 min
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6
More topics5 questions · ~44 min
7-Day Rolling Active UsersMedium
Practice

Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.

Window FunctionsDate FunctionsRunning TotalsSovrn
Choose Batch vs Streaming PipelineEasy

Design a Meta-scale ads data platform and decide when batch, streaming, or hybrid pipelines are appropriate for latency, cost, and accuracy needs.

Sovrn
Precision vs Recall Trade-offsEasy

Assesses your ability to connect classification metrics to business and modeling trade-offs.

F1 ScorePrecisionRecallSovrn
Determining Statistical SignificanceEasy

Tests knowledge of p-values, confidence intervals, and decision criteria for statistical significance.

Confidence IntervalsStatistical SignificanceP-ValuesSovrn
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Hands-on SQL practiceWrite and run real queries in the editor. 1 drill · ~10 min
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
The finish line: interview-readyComplete all 30 questions plus 1 hands-on drill to finish this plan.