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Updated weekly · Last refresh Oct 17

Salesforce Data Scientist Interview Questions

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

50questions
~8htotal time
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1
SQL & Data ManipulationStart here. 6 questions · ~56 min
2
Machine Learning6 questions · ~56 min
Regularization BasicsEasy

Explain regularization and how it reduces overfitting in supervised learning models.

Bias-Variance TradeoffRegularizationGradient DescentSalesforce
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3
Model Evaluation4 questions · ~37 min
Evaluate Churn Model on ImbalanceMedium

Assess a churn model with 96.1% accuracy but only 28% recall on a 4% positive-rate dataset, and recommend better evaluation for imbalance.

F1 ScorePrecisionRecallSalesforce
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4
Metrics6 questions · ~56 min
Measure AI Engagement ImpactMedium

Define how to measure whether an AI feature improves engagement, repeat usage, and downstream product value.

KPIsEngagement MetricsSalesforce
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5
Statistics & Probability6 questions · ~56 min
Explaining Confidence IntervalsEasy

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

Confidence IntervalsHypothesis TestingCommunicationSalesforce
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6
Pipelines6 questions · ~56 min
Large Dataset Analysis PipelineEasy

Discuss a large-scale data analysis project with focus on the pipeline, tooling, and data quality approach.

ToolsData ModelingQualitySalesforce
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7
More topics16 questions · ~148 min
Why Recall MattersMedium

Explain why recall matters in ML ranking pipelines and how it affects candidate generation and evaluation.

Feature StoreRetrievalSalesforce
Improve NLP for Service BotsHard

Improve a service bot with better intent classification, entity extraction, language model adaptation, and practical evaluation.

Language ModelsText ClassificationTokenizationSalesforce
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