Curefit Data Scientist Interview Questions
The questions to prepare for a Curefit Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Pick a North Star Metric that reflects customer value, business impact, and long-term product health.
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Explain how a primary metric differs from a guardrail metric and how both are used in A/B test decisions.
CurefitDesign a recommendation system strategy for model cold start and new-user cold start, including serving, evaluation, and safe rollout.
CurefitExplain how to diagnose and optimize a slow PostgreSQL query on large Apidel Technologies datasets.
CurefitUse CTEs, joins, and date filtering to calculate 30-day retention by signup cohort from login and feature usage data.
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ReachMobi
IndeedCompute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.
Gain Digital
TCS
Zest AIMerge CRM orders with GA events via an identity map to build a customer-level view using joins, window functions, and monthly rollups.
ArtefactAnalyze the significance of the F1 score in a binary classification model for customer churn prediction, and propose improvements.
CurefitDetermine the feature prioritization strategy for a new fitness app aimed at increasing user engagement and retention.
CurefitAssesses monitoring, diagnosis, and remediation steps for production model degradation.
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