Top 43
Prep plan
Updated weekly · Last refresh Oct 17

Stanford University Data Scientist Interview Questions

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

43questions
~7htotal time
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1
SQL & Data ManipulationStart here. 7 questions · ~64 min
Rank Applicants With Window FunctionsEasy
Practice

Rank Stanford University grant applications within each department using average review scores and the RANK window function.

Window FunctionsRankingStanford University
Rolling Average Admissions SQLMedium
Practice

Use a PostgreSQL window function to calculate three-month rolling admission averages for Stanford Medicine departments.

Window FunctionssqlStanford University
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2
Machine Learning6 questions · ~55 min
Course Intervals Problem SolvingMedium

Assesses your ability to design and implement an algorithm for interval scheduling problems.

AlgorithmsStanford University
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3
Statistics & Probability9 questions · ~82 min
Statistical Significance in Clinical TrialsMedium

Evaluates your approach to hypothesis testing and interpreting results in medical studies.

Statistical SignificanceassessmentStanford University
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4
A/B Testing & Experimentation6 questions · ~55 min
Sample Size and PowerHard

Evaluates your ability to plan experiments using power analysis under challenging outcome variability.

Sample SizeStanford University
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5
Product Sense6 questions · ~55 min
Inference Speed vs Accuracy TradeoffsMedium

Evaluates your ability to make performance tradeoffs aligned with clinical constraints and risk.

tradeoffsStanford University
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6
Behavioral & Leadership6 questions · ~55 min
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7
More topics3 questions · ~27 min
Composite Index for Data QualityMedium

Tests your metrics design and aggregation approach for multi-source data quality measurement.

Data QualityStanford University
NLP Pipeline for Medical DiagnosesHard

Tests your NLP pipeline design skills for information extraction from unstructured clinical text.

Text ClassificationNamed Entity RecognitionTokenizationStanford University
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