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Updated weekly · Last refresh Oct 17

Sovrn Data Scientist Interview Questions

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

30questions
~4htotal time
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1
A/B Testing & ExperimentationStart here. 3 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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2
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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3
Machine Learning5 questions · ~44 min
Predict Customer ChurnMedium

Build a churn model that flags at-risk customers early using behavioral, billing, and support signals.

Feature EngineeringModel EvaluationSupervised LearningSovrn
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4
Metrics3 questions · ~26 min
Diagnose Conversion Drop Post LaunchMedium

Diagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.

Funnel AnalysisConversion RateDiagnosisSovrn
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5
Behavioral & Leadership10 questions · ~88 min
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6
More topics5 questions · ~44 min
SQL Top Advertisers Per MonthMedium
Practice

Rank Sovrn advertisers by monthly spend and return the top three using aggregation and RANK().

Window FunctionsRankingAggregationsSovrn
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
Rolling Transaction SQL and RankingHard
Practice
Practice drill

Calculate each user's 7-day rolling transaction average and daily spend rank using PostgreSQL window functions.

Window FunctionsDate FunctionsRankingGGreen ExchangeAANT SolutionRakuten
The finish line: interview-readyComplete all 30 questions plus 1 hands-on drill to finish this plan.