Headspace Data Scientist Interview Questions
The questions to prepare for a Headspace Data Scientist interview. Questions from real interview reports rank first. Updated daily.
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.
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Design a recommendation system strategy for new users and new items when interaction history is sparse or missing.
HeadspaceExplain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.
HeadspaceTests SQL proficiency for cohort-based retention calculations using window functions.
HeadspaceTests segmentation strategy and translating insights into actionable content decisions.
HeadspaceTests feature engineering for churn prediction in subscription mental health products.
HeadspaceTests ability to apply privacy, compliance, and governance practices to ML systems.
HeadspaceCompute 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.
Asana
UberCompare daily, weekly, and seven-day rolling autonomous vehicle mileage using PostgreSQL window functions.
May Mobility