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Updated weekly · Last refresh Aug 30

Ericsson Data Scientist Interview Questions

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

47questions
~6htotal time
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1
A/B Testing & ExperimentationStart here. 4 questions · ~32 min
2
Model Evaluation5 questions · ~40 min
Compare Models With Cross-ValidationMedium

Compare two models using cross-validation and decide whether the performance gap is meaningful.

Cross-ValidationLog LossAUC-ROCEricsson
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3
Machine Learning14 questions · ~113 min
Handling Missing Values in MLEasy

Explain practical strategies for handling missing values in a supervised learning workflow, from diagnosis to modeling and validation.

Cross-ValidationFeature EngineeringRegularizationEricsson
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4
Metrics3 questions · ~24 min
Diagnose a Metric Drop After LaunchMedium

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisEricsson
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5
SQL & Data Manipulation5 questions + 3 drills · ~70 min
6
Behavioral & Leadership11 questions · ~89 min
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7
More topics5 questions · ~40 min
Design a Cold Start RankerMedium

Design a recommendation and ranking system that handles cold start for both new users and new items without hurting feed quality.

Cold StartTwo-Tower ModelsRecommendation SystemsEricsson
Evaluating Observed Lift SignificanceMedium

Explain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.

Confidence IntervalsStatistical SignificanceP-ValuesEricsson
Batch vs Streaming Data ProcessingEasy

Compare batch and streaming data processing, including when each fits best in a pipeline.

Stream ProcessingETLBatch ProcessingEricsson
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