Headspace Data Scientist Interview Questions
The questions to prepare for a Headspace Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Design an experiment to tell whether a new feature improves true retention, not just short-term usage.
HeadspaceInvestigate whether an 8.2% DAU decline is driven by product breakage, logging issues, or normal seasonal patterns.
HeadspaceExplain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.
HeadspaceDesign a recommendation system strategy for new users and new items when interaction history is sparse or missing.
HeadspaceTests SQL proficiency for cohort-based retention calculations using window functions.
HeadspaceTests end-to-end pipeline design for streaming event processing and scalable modeling.
HeadspaceTests ability to define measurable product outcomes tied to mental wellness behavior change.
HeadspaceTests ability to reason about recommender system approaches for personalized mental wellness experiences.
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Compute daily distinct active users and a 7-day rolling average using a CTE and window function.
Activision
Stripe
Pyramid ConsultingCompute 7-day NYC rider retention by signup cohort using joins, CTEs, date filters, and distinct retained-user aggregation.
Uber
AsanaCalculate GoDaddy cohort conversion rates over rolling 7-day windows using joins, aggregation, and window functions.
GoDaddy