Humin

Data Scientist

• Build and evolve Humin's data and measurement foundation, including event taxonomies, schemas, data quality checks, and analytical infrastructure
• Translate Product and Science requirements into instrumentation specifications, acceptance criteria, and validation tests for Engineering
• Monitor instrumentation and data quality, identify tracking gaps, duplicate events, schema drift, and data inconsistencies, and support remediation
• Develop and maintain dashboards and reporting systems
• Analyze user behavior and product performance across acquisition, activation, engagement, retention, churn, and wellbeing outcomes
• Define and validate effective engagement metrics, including the North Star metric, and link usage patterns to validated wellbeing outcomes
• Apply funnel, cohort, retention, and segmentation analysis, building toward survival analysis and predictive modeling
• Support experiment design and analysis and evaluate relationships between product usage and validated wellbeing measures
• Translate product data into insights and recommendations for product strategy, personalization, and user experience
• Conduct marketing, acquisition, audience, pipeline, and funder trend analyses
• Build reporting for organizational KPIs and produce outcome metrics for grant reports and funder deliverables
• Present clear, actionable analysis to leadership, board, development, marketing, and other non-technical audiences
• Support measurement selection, sample size planning, analysis, and interpretation with the Science team
• Apply psychometric principles to rigorously measure and interpret wellbeing outcomes
• Translate statistical findings into accessible narratives
• Contribute analyses to research publications, presentations, and technical reports

Explore Data Scientist at Humin. Review requirements and application details.