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Prep plan
Updated weekly · Last refresh Oct 17

Nokia Data Scientist Interview Questions

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

50questions
~7htotal time
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1
NLPStart here. 4 questions · ~32 min
2
Machine Learning7 questions · ~56 min
Engineer Features for Network FaultsEasy

Design feature engineering for a telecom fault prediction model using operational, alarm, and maintenance data.

Cross-ValidationFeature EngineeringSupervised LearningNokia
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3
Metrics3 questions · ~24 min
Seasonality vs Launch ImpactHard

Separate recurring calendar patterns from true launch impact in a key product metric.

Leading IndicatorsDiagnosisTime SeriesNokia
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4
Model Evaluation6 questions · ~48 min
Check for Model OverfittingEasy

How to tell whether a model is overfitting using train and validation performance.

Cross-ValidationF1 ScoreAccuracyNokia
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5
Pipelines7 questions · ~56 min
Optimize a Large Data WorkflowMedium

Approach for improving pipeline efficiency while keeping the same business logic and outputs.

InfrastructureETLQualityNokia
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6
A/B Testing & Experimentation5 questions · ~40 min
Test Retention Lift from New FeatureHard

Design an experiment to determine whether a new product feature causes a meaningful retention lift without harming key guardrail metrics.

ExperimentationGuardrail MetricsA/B TestingNokia
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7
More topics18 questions · ~144 min
Python List IntersectionEasy

Evaluates your practical skills with Python data manipulation.

Data StructurespythonNokia
Role of a Data ScientistEasy

Tests your understanding of how Nokia expects Data Scientists to create value with data and models.

User NeedsValue PropositionProduct VisionNokia
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.