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Updated weekly · Last refresh Sep 22

Barbaricum Data Scientist Interview Questions

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

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1
PipelinesStart here. 3 questions · ~24 min
Real-Time Dashboard Data PipelineMedium

Design a streaming pipeline that keeps dashboard data fresh and accurate for operational reporting.

InfrastructureStream ProcessingOrchestrationBarbaricum
Backfilling Missing Pipeline DataMedium

Approach for safely backfilling missing data while preserving correctness, idempotency, and data quality.

ETLQualityBarbaricum
Notebook to Production PipelineHard

Tests your end-to-end ML engineering workflow for reliable, maintainable deployment.

InfrastructureETLQualityBarbaricum
2
More topics4 questions · ~32 min
Validate a Model for OverfittingMedium

Explain how to validate a model and spot overfitting before it reaches production.

Hyperparameter TuningCross-ValidationBias-Variance TradeoffBarbaricum
Random Forest vs Gradient BoostingMedium

Compare Random Forest and Gradient Boosting, then choose the right ensemble for a supervised learning task.

Ensemble MethodsBias-Variance TradeoffSupervised LearningBarbaricum
Top Active Users SQLHard

Tests your SQL skills for windowing or partitioned aggregation and ranking.

Window FunctionsDate FunctionsRankingBarbaricum
Handling Severe Class ImbalanceMedium

Tests your approach to improving model performance under skewed class distributions.

Cross-ValidationFeature EngineeringSupervised LearningBarbaricum

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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
Cleaning a Messy DatasetMedium
Practice
Practice drill

Filter invalid game events and normalize event names using PostgreSQL string and null handling.

missing valuesdata cleaningnull handlingQuantiumScopelyCarvana
Handle Missing Financial Input ValuesMedium
Practice
Practice drill

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
The finish line: interview-readyComplete all 7 questions plus 3 hands-on drills to finish this plan.