Top 33
Prep plan
Updated weekly · Last refresh Oct 17

BASF Data Scientist Interview Questions

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

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1
Machine LearningStart here. 10 questions · ~90 min
Describe an ML Project and ChallengesEasy

Discuss a machine learning project you have worked on and the challenges you faced.

Hyperparameter TuningCross-ValidationFeature EngineeringBASF
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2
Behavioral & Leadership11 questions · ~99 min
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3
More topics12 questions · ~108 min
Rolling 7-Day Sales AverageMedium
Practice

Calculate calendar-based rolling 7-day sales averages per BASF product using aggregation and window functions.

Window FunctionsDate FunctionsAggregationsBASF
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingBASF
Power Analysis for Small Lift ExperimentMedium

Estimate sample size and power for detecting a small conversion lift in an A/B test on a mobile app feature.

Power AnalysisSample SizeA/B TestingBASF
Turn Analysis Into ActionMedium

Explain how to connect customer analysis to clear business actions, product decisions, and measurable outcomes.

Feature PrioritizationUser NeedsValue PropositionBASF
Diagnose KPI Drop After ReleaseMedium

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

KPILeading IndicatorsDiagnosisBASF
Transfer Model Across LocationsHard

Evaluates model transferability, domain shift, and validation strategy.

BASF
Handle Incomplete or Messy DataMedium

Evaluates data cleaning strategy and robustness of downstream modeling.

Data WranglingQualityBASF
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Hands-on SQL practiceWrite and run real queries in the editor. 1 drill · ~10 min
The finish line: interview-readyComplete all 33 questions plus 1 hands-on drill to finish this plan.