Dexcom Data Scientist Interview Questions
The questions to prepare for a Dexcom Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
DexcomInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
DexcomBuild a classifier for a rare-event problem and choose metrics and training tactics that work when positives are scarce.
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Tests ability to use SQL window functions to analyze time-based engagement trends for Dexcom insights.
DexcomBuild a daily series and compute a 30-day trailing moving average of task bookings using window functions.
TaskRabbit
RBCUse CTEs, joins, and monthly aggregation to measure cohort activity trends and classify engagement over time.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Meta
Spotify
Meta ITIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
DexcomTests your model validation strategy and metric selection to demonstrate value for Dexcom outcomes.
DexcomTests power analysis skills to plan reliable experiments for Dexcom product changes.
DexcomTests your approach to data quality and resilience for streaming sensor signals like Dexcom CGM.
Dexcom