Starbucks Data Scientist Interview Questions
The questions to prepare for a Starbucks Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Identify purchased products with the highest non-null discount in each category, including ties.
StarbucksDesign and implement a Random Forest pipeline covering exploration, preprocessing, training, validation, and evaluation.
StarbucksDetermine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
StarbucksDiagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.
StarbucksTests breadth and depth of statistical modeling approaches in practice.
StarbucksEngineer features and build, validate, and explain a complete machine learning pipeline from the supplied dataset.
StarbucksAnalyze whether a Starbucks labor scheduling policy changes store wait times and customer satisfaction.
StarbucksTests decision-making for near real-time recommendation pipelines and tradeoffs between batch and streaming.
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