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Prep plan
Updated weekly · Last refresh Aug 30

Dun & Bradstreet Data Scientist Interview Questions

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

23questions
~3htotal time
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1
Statistics & ProbabilityStart here. 4 questions · ~32 min
Line Chart InsightsEasy

Tests ability to extract meaningful trends and relationships from business visualizations.

RegressionCorrelationTime SeriesDun & Bradstreet
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2
Product Sense3 questions · ~24 min
Selecting Features for Business GoalsMedium

Tests ability to connect feature engineering to measurable business objectives.

Feature PrioritizationUser NeedsValue PropositionDun & Bradstreet
Impact on Business ProcessMedium

Tests ability to connect modeling work to measurable business impact and product outcomes.

Value PropositionUse CasesProduct VisionDun & Bradstreet
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3
Machine Learning9 questions · ~72 min
Random Forest vs Linear RegressionMedium

Tests model selection reasoning based on data patterns and performance tradeoffs.

Ensemble MethodsSupervised LearningDecision TreesDun & Bradstreet
B2B Recommendation EngineHard

Tests ability to design recommendation systems for business use cases and engagement.

Ensemble MethodsFeature EngineeringSupervised LearningDun & Bradstreet
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4
More topics7 questions · ~56 min
SQL Aggregation by RegionMedium

Tests SQL skills for grouped aggregation and applying credit-risk filters in business datasets.

JoinsGroup ByAggregationsDun & Bradstreet
Correlation, P-Values, and MetricsMedium

Tests ability to distinguish statistical significance from predictive performance measurement.

CorrelationMAERMSEDun & Bradstreet
Project Lifecycle to MonitoringHard

Tests end-to-end ML lifecycle understanding including monitoring and ongoing maintenance.

ETLOrchestrationQualityDun & Bradstreet
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
Top Customers by Net SalesMedium
Practice
Practice drill

Compute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.

SubqueriesJoinsData WranglingGain DigitalTCSZest AI
Find Spending Variance Drivers by DepartmentHard
Practice
Practice drill

Use joins and LAG to isolate departments driving a large month-over-month spending variance.

JoinsData WranglingGroup ByState of CaliforniaUniversity of ChicagoThe Church of Jesus Christ of Latter-day Saints
The finish line: interview-readyComplete all 23 questions plus 3 hands-on drills to finish this plan.