Lam Research Data Scientist Interview Questions

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

Data Quality in ETL Pipelines

Easy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQuality

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Analyze a Successful Campaign

Easy

Describe how you would evaluate a successful marketing campaign using funnel KPIs, conversion, and ROI.

KPIsDiagnosisEngagement Metrics

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A/B Testing for Product Features

Medium

Explain how to design and evaluate an A/B test for a product feature, including metrics, MDE, sample size, and guardrails.

Hypothesis TestingStatistical SignificanceA/B Testing

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Validating Predictive Models

Medium

Tests model validation strategy, metrics selection, and avoiding data leakage.

Cross-ValidationAUC-ROCAccuracy

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Motivation for Data Engineering Work

Easy

Explain what drives your interest in data engineering, grounded in user needs and the value created by reliable data systems.

Jobs to Be DoneUser NeedsValue Proposition

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Optimizing Slow SQL Queries

Medium

Tests your ability to diagnose and improve SQL performance using query and indexing strategies.

Window FunctionsJoinsAggregations

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