Seagate Data Scientist Interview Questions

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

Explaining a Technical Concept Clearly

Easy

Tests communication, ownership, and stakeholder management when translating technical complexity into actionable business understanding.

Problem SolvingData Structurestechnical fundamentals

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

Approach for cleaning and preparing raw data inside an ETL pipeline.

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Overfitting and Underfitting in Deep Learning

Medium

Explain what causes overfitting and underfitting in deep learning, how to spot each one, and how to reduce them in practice.

underfittingDeep Learningoverfitting

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First Checks for Metric Drops

Easy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosis

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Statistical Significance in Hypothesis Testing

Easy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical Significance

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Handling Missing and Dirty SQL Data

Medium

Explain how to profile, clean, and standardize missing or dirty data before analysis.

Data WranglingCase WhenQuality

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Choosing Classification Evaluation Metrics

Easy

Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.

PrecisionAccuracyRecall

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