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Updated weekly · Last refresh Sep 22

An applied AI Data Scientist Interview Questions

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

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1
Model EvaluationStart here. 4 questions · ~32 min
Precision and Recall TradeoffsHard
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Tests your ability to reason about classification metrics under threshold and statistical changes.

PrecisionRecallAn applied AI
Log Loss and Its PurposeMedium
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Assesses your grasp of log loss and its role in probabilistic classification.

Log LossModel MetricsAn applied AI
Cross-Entropy LossMedium
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Evaluates your understanding of cross-entropy loss and when it is used.

loss functionsAn applied AI
Traditional ML and MetricsMedium
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Assesses your ability to choose and interpret common evaluation metrics for baseline models.

An applied AI
2
More topics5 questions · ~40 min
Improve Your Favorite ProductMedium
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Describe how to evaluate and improve a favorite product by grounding ideas in user needs, pain points, and prioritization.

Feature PrioritizationValue PropositionProduct VisionAn applied AI
Machine Learning TechniquesMedium
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Assesses breadth of ML techniques and your decision-making for selecting approaches.

An applied AI
Customer Segmentation ProjectMedium
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Evaluates applied machine learning thinking for segmentation in a payments-focused context.

An applied AI
Working With DataMedium
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Assesses your experience handling data end to end and communicating results.

An applied AI
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