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Updated weekly · Last refresh Oct 17

Grainger Corporate Services Applied Scientist Interview Questions

The questions to prepare for a Grainger Corporate Services Applied Scientist interview. Questions from real interview reports rank first. Updated daily.

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~3htotal time
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1
System DesignStart here. 5 questions · ~45 min
Design Cold Start for RecommendationsHard

Design a recommendation system strategy for model cold start and new-user cold start, including serving, evaluation, and safe rollout.

Cold StartRetrievalTwo-Tower ModelsGrainger Corporate Services
Design a Personalized Product RecommenderHard

Design an end-to-end product recommendation system for a large e-commerce marketplace with strict latency and freshness needs.

Feature StoreFeature DriftModel ServingGrainger Corporate Services
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2
Machine Learning5 questions · ~45 min
Handle Highly Imbalanced ClassesMedium

Build a classifier for a highly imbalanced dataset and choose training and evaluation methods that surface rare positives.

Cross-ValidationFeature EngineeringSupervised LearningGrainger Corporate Services
Multi-Label Classification Case StudyHard

Evaluates end-to-end approach to multi-label modeling, evaluation, and iteration.

case studyGrainger Corporate Services
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3
SQL & Data Manipulation4 questions + 1 drill · ~46 min
Category CTR and Conversion SQLMedium
Practice

Given a table of Grainger Corporate Services customer search queries and subsequent purchases, write a query to calculate the click-through rate and conver...

Date FunctionsJoinsGroup ByGrainger Corporate Services
Optimize Slow SQL with JoinsHard

Tests practical SQL performance tuning for large-scale joined datasets.

Joinsperformancequery optimizationGrainger Corporate Services
Analyze Customer Purchase Trends with Window FunctionsEasy
Practice
Practice drill

Calculate the monthly spending trends for customers using window functions and joins.

The Home DepotAvisoHewlett Packard Enterprise
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4
Behavioral & Leadership6 questions · ~55 min
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5
More topics2 questions · ~18 min
TF-IDF vs Word EmbeddingsEasy

Explain how TF-IDF differs from word embeddings, and when each representation is a better fit for an NLP task.

Word EmbeddingsTF-IDFTokenizationGrainger Corporate Services
Fine-Tuning BERT for SearchHard

Tests NLP understanding and practical fine-tuning for industrial search relevance.

transformersGrainger Corporate Services

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