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Updated weekly · Last refresh Aug 30

Nokia Data Scientist Interview Questions

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

50questions
~7htotal time
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1
PipelinesStart here. 7 questions · ~56 min
2
Machine Learning6 questions · ~48 min
Prevent Overfitting in ML ModelsEasy

Explain how to reduce overfitting using regularization, validation, and model selection.

Cross-ValidationBias-Variance TradeoffRegularizationNokia
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3
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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4
NLP4 questions · ~32 min
Design LLM Agent SystemsHard

Outline how to design an LLM and agent system with retrieval, tool use, evaluation, and safety controls.

Language ModelsText ClassificationTokenizationNokia
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5
Metrics3 questions · ~24 min
Investigate User Engagement DeclineMedium

Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.

RetentionDiagnosisEngagement MetricsNokia
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6
A/B Testing & Experimentation5 questions · ~40 min
Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchNokia
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7
More topics19 questions · ~152 min
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
Statistical Analysis for AI ResearchMedium

Tests your ability to apply statistics to validate findings and improve AI systems.

RegressionCorrelationCausal InferenceNokia
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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.