University of Washington Data Scientist Interview Questions
The questions to prepare for a University of Washington Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Compute the mean and standard deviation of a dataset, and distinguish the sample standard deviation from the population version.
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Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
University of WashingtonTests feature selection strategy and understanding of bias-variance tradeoffs.
University of WashingtonIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
University of WashingtonTests metric design, instrumentation thinking, and root-cause analysis for metric regressions.
University of WashingtonTests your practical data quality workflow and handling of common data issues.
University of WashingtonTests your overall fit for the Data Scientist role and the scope of your prior work.
University of WashingtonAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Benjamin MooreUse GROUP BY and conditional aggregation to count data quality issues in a single NVIDIA dashboard source table.
NVIDIADeduplicate transactions and impute null costs before reporting customer spend.
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