Dataford
Top 34
Prep plan
Updated weekly · Last refresh Aug 30

Target Data Scientist Interview Questions

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

34questions
~5htotal time
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1
Product SenseStart here. 3 questions · ~24 min
Choose the Right Feature MetricMedium
Recently asked

Framework for choosing whether a new feature should be measured primarily by engagement, retention, or revenue.

Feature PrioritizationUser NeedsProduct VisionTarget
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2
Machine Learning6 questions · ~48 min
Extreme Imbalance in Fraud DetectionMedium
Recently asked

Handle rare positive labels in ad fraud detection with the right sampling, loss design, validation, and thresholding strategy.

Feature Engineeringmodel trainingClass ImbalanceTarget
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3
Pipelines3 questions · ~24 min
Partition Pruning in SparkMedium
Recently asked

Tests understanding of Spark partitioning and how it speeds up query execution.

performancesparkpartitioningTarget
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4
Behavioral & Leadership12 questions · ~96 min
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5
More topics10 questions · ~80 min
Diagnose KPI Drop After ReleaseMedium
Recently asked

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisTarget
Define Metrics for a Customer TestHard
Recently asked

Define the primary metric, guardrails, and power for a customer-facing A/B test before deciding whether to ship.

ExperimentationGuardrail MetricsA/B TestingTarget
Optimizing Skewed Spark JoinsMedium
Recently asked

Tests practical PySpark join optimization choices for large-scale data processing.

Performance TuningJoinssparkTarget
Statistical Significance for ConversionMedium
Recently asked

Tests statistical testing approach for conversion metrics and practical significance decisions.

Hypothesis TestingStatistical SignificanceP-ValuesTarget
Offline Evaluation for RecsHard
Recently asked

Tests offline evaluation strategy for recommendation systems without relying on online A/B tests.

Evaluation TechniquesModel ServingRecommendation SystemsTarget
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Weekly Service KPI by TeamMedium
Practice
Practice drill

Analyze weekly service delivery performance by team using joins, a CTE, date aggregation, and KPI calculations.

KPIJoinssqlDeloitteReputation
Identify Funnel Bottlenecks in OnboardingHard
Practice
Practice drill

Use joins, CTEs, and aggregations to find the weakest step in an onboarding funnel and estimate lost conversions.

Funnel AnalysissqlDiagnosisAtlassianRevolut
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 34 questions plus 3 hands-on drills to finish this plan.