Starbucks Data Scientist Interview Questions
The questions to prepare for a Starbucks Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Investigate sample ratio mismatch and decide whether an experiment readout is trustworthy enough to ship.
StarbucksExplain how to tune a slow PostgreSQL query that joins several large transaction tables using indexes, join strategy, and partitioning.
StarbucksAnalyze weekly service delivery performance by team using joins, a CTE, date aggregation, and KPI calculations.
Deloitte
ReputationUse joins, CTEs, and aggregations to find the weakest step in an onboarding funnel and estimate lost conversions.
Atlassian
RevolutBuild a daily series and compute a 30-day trailing moving average of task bookings using window functions.
TaskRabbit
RBCSign up to see every question
Create a free account to unlock this list and practice real interview questions.
Diagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.
StarbucksExplain the bias-variance tradeoff mathematically and how L1 and L2 regularization change model complexity and weights.
StarbucksTests ability to translate statistical concepts into business-friendly explanations for Starbucks stakeholders.
StarbucksTests system design skills for building a recommendation system tailored to seasonal product demand at Starbucks.
StarbucksTests decision-making for near real-time recommendation pipelines and tradeoffs between batch and streaming.
StarbucksTests ability to define success metrics and evaluation structure for personalization initiatives at Starbucks.
Starbucks