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Prep plan
Updated weekly · Last refresh Oct 17

SentiLink Data Scientist Interview Questions

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

27questions
~4htotal time
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1
Model EvaluationStart here. 5 questions · ~40 min
2
Behavioral & Leadership10 questions · ~80 min
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3
More topics12 questions · ~96 min
Rolling Fraud Rates with SQLMedium

Tests SQL proficiency for time-series aggregation and rolling metrics used in fraud detection.

Window FunctionssqlRunning TotalsSentiLink
Feature Engineering for Coordinated FraudMedium

Tests feature engineering ability to detect coordinated fraud patterns relevant to SentiLink identity and risk solutions.

fraud detectionFeature EngineeringSupervised LearningSentiLink
Fraud Rule Test Without Good-User HarmHard

Design an experiment to measure whether a new fraud rule reduces losses without blocking legitimate users.

ExperimentationGuardrail MetricsA/B TestingSentiLink
Bias-Variance ExplainedMedium

Evaluates your understanding of core statistical concepts relevant to model generalization.

BiasVarianceSentiLink
Analytics Driving Product StrategyMedium

Tests how you translate analysis into decisions that impact product strategy and operations.

business impactSentiLink
Synthetic Fraud with Scarce LabelsHard

Tests system design for synthetic fraud detection under label scarcity, aligned to SentiLink use cases.

distributed trainingCold StartFeature StoreSentiLink
Sliding Window Feature AggregationHard

Tests ability to implement scalable feature aggregation for fraud/identity signals in time windows.

Window FunctionstransformationsData WranglingSentiLink
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 27 questions plus 3 hands-on drills to finish this plan.