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Data Scientist, Product Analytics — Humin, US Remote
Join Humin as a Data Scientist focused on product analytics and measurement systems for digital wellbeing tools. Analyze engagement, retention, product outcomes, and organizational performance to guide evidence-based decisions.
विवरण
- Own and improve Humin’s data and measurement foundation, including event taxonomies, schemas, quality controls, and analytical infrastructure
- Convert Product and Science needs into instrumentation specifications, acceptance criteria, and validation tests for Engineering
- Audit instrumentation and data quality by finding tracking gaps, duplicate events, schema changes, and inconsistent data, then support remediation
- Create and maintain dashboards and reporting systems
- Evaluate user behavior and product performance across acquisition, activation, engagement, retention, churn, and wellbeing outcomes
- Establish and validate engagement measures, including the North Star metric, and connect usage patterns with validated wellbeing outcomes
- Use funnel, cohort, retention, and segmentation methods while developing toward survival analysis and predictive modeling
- Assist with experiment design and analysis, including evaluation of relationships between product usage and validated wellbeing measures
- Turn product data into recommendations for product strategy, personalization, and user experience
- Analyze trends across marketing, acquisition, audiences, pipelines, and funders
- Develop organizational KPI reporting and outcome measures for grant reports and funder deliverables
- Present concise, actionable findings to leadership, the board, development, marketing, and other non-technical audiences
- Partner with the Science team on measurement selection, sample-size planning, analysis, and interpretation
- Apply psychometric methods to rigorously assess and interpret wellbeing outcomes
- Explain statistical findings through clear, accessible narratives
- Contribute analysis to research publications, presentations, and technical reports
आवश्यकताएँ
- Two to four years of experience in data science, product analytics, or a related analytical role, or equivalent graduate research experience
- Practical experience with event or product data, including collaboration with Engineering on instrumentation and data quality
- Experience in product analytics and applied statistics, using funnel, cohort, retention, and related methods to understand user behavior and outcomes
- Fluency in SQL
- Proficiency in Python or R
- Experience working with data pipelines and diagnosing data-quality problems
- Ability to translate stakeholder questions into defined data requirements and explain findings clearly to non-technical audiences
- Strong interest in and commitment to, or lived alignment with, wellbeing, mindfulness, and the science of human flourishing
- Ability to work in the United States without sponsorship
- Willingness to travel occasionally for staff gatherings and other organizational meetings or events
- Successful completion of a pre-employment background check
- Preferred: Experience designing or evaluating experiments, including A/B tests, or familiarity with causal inference and quasi-experimental methods
- Preferred: Knowledge of measurement design and psychometric concepts, including validated instruments and meaningful-change interpretation
- Preferred: Experience with predictive modeling or survival analysis
- Preferred: Experience in behavioral health, wellbeing science, or another research-informed product setting
- Preferred: Experience with marketing, mobile, or business and revenue analytics
- Preferred: Experience with mobile SDK instrumentation or legacy-data reconciliation and migration
- Preferred: Experience in a nonprofit or dual-revenue organization
- Awareness of and commitment to diversity, equity, and inclusion principles
लाभ
- Comprehensive health and benefits package
- Generous paid time off
- Flexible and remote work arrangements
- Professional development resources
- Organization-wide forums and professional development opportunities
- Opportunities to contribute to research publications
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