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Updated weekly · Last refresh Aug 30

Bigbear.ai Data Scientist Interview Questions

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

43questions
~6htotal time
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1
Machine LearningStart here. 10 questions · ~80 min
Feature Engineering for Noisy DataMedium
Recently asked

Design feature engineering for noisy, high-dimensional data and choose a model that generalizes well.

Cross-ValidationFeature EngineeringRegularizationBigbear.ai
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2
Pipelines5 questions · ~40 min
Handling Missing Data in PipelinesMedium
Recently asked

Approach for handling missing data in an ML data pipeline, including validation, imputation, and safe downstream consumption.

InfrastructureETLBatch ProcessingBigbear.ai
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3
Model Evaluation3 questions · ~24 min
Evaluate Models in ProductionHard
Recently asked

How to evaluate a production model using calibration, thresholds, and confusion matrix tradeoffs.

CalibrationAccuracyThreshold TuningBigbear.ai
Monitor Model Accuracy Over TimeHard
Recently asked

How to track a deployed model for drift, calibration loss, and accuracy decay over time.

CalibrationAccuracyThreshold TuningBigbear.ai
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4
System Design5 questions · ~40 min
Choose Online vs Batch ServingHard
Recently asked

Choose an architecture for model inference, comparing online and batch serving for a production ML system.

InfrastructureTrade-offsModel ServingBigbear.ai
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5
Behavioral & Leadership17 questions · ~136 min
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6
More topics3 questions · ~24 min
Define Success for a ProjectEasy
Recently asked

Define what success means for a project using clear KPIs, a north star, and supporting metrics.

KPIsSuccess CriteriaDiagnosisBigbear.ai
Statistical Justification for TestsHard

Evaluates your statistical reasoning for selecting distributions and hypothesis tests.

DistributionsHypothesis Testingstatistics fundamentalsBigbear.ai
SQL for Complex ExtractionMedium

Assesses your practical SQL skills for extracting and shaping data for modeling.

complex queriessqldatabase queryingBigbear.ai

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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
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
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 43 questions plus 3 hands-on drills to finish this plan.