Dataford
Top 11
Prep plan
Updated weekly · Last refresh Sep 22
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Home Depot Data Scientist Interview Questions

The questions to prepare for a Home Depot Data Scientist interview. Questions from real interview reports rank first. Updated daily.

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1
Behavioral & LeadershipStart here. 3 questions · ~32 min
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2
More topics8 questions · ~84 min
First and Last TransactionMedium
Practice
Recently asked

Find each customer's earliest and latest transaction using ranking and conditional aggregation.

Window FunctionsDate Functionsnull handlingHHome Depot
System Design for ML ProductsHard
Recently asked

Explain an ML system design, including its data structures, algorithms, architecture, and key tradeoffs.

system designdesignml inferenceHHome Depot
Mitigating Experimentation PitfallsHard
Recently asked

Identify major online experimentation pitfalls and explain practical mitigations for SRM, network effects, peeking, and novelty.

experiment designNetwork InterferenceNetwork EffectsHHome Depot
Test New Feature Engagement ImpactMedium
Recently asked

Design an experiment to determine whether a new feature meaningfully improves user engagement without harming core product health.

ExperimentationFeature PrioritizationUser NeedsHHome Depot
Explaining Confidence IntervalsEasy
Recently asked

Explain what a confidence interval means and how to communicate it to a non-technical stakeholder.

Confidence IntervalsHypothesis TestingCommunicationHHome Depot
Prevent Overfitting in ML ModelsEasy
Recently asked

Explain how to reduce overfitting using regularization, validation, and model selection.

Cross-ValidationBias-Variance TradeoffRegularizationHHome Depot
SQL Average Transaction Per CustomerEasy
Practice
Recently asked

Task xAI's finance analytics team wants a per-customer view of transaction values. Write a PostgreSQL query that calculates the average transaction amount...

Date FunctionsGroup ByAggregationsHHome Depot
Define Metrics for New FeaturesMedium
Recently asked

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueHHome Depot

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Hands-on SQL practiceWrite and run real queries in the editor. 1 drill · ~10 min
Rolling Transaction SQL and RankingHard
Practice
Practice drill

Calculate each user's 7-day rolling transaction average and daily spend rank using PostgreSQL window functions.

Window FunctionsDate FunctionsRankingGGreen ExchangeRakutenCCRED
The finish line: interview-readyComplete all 11 questions plus 1 hands-on drill to finish this plan.