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Humin
Humin
11 – 50 Employees
EducationScienceWellness
Humin is a science-driven wellbeing organization, formerly known as Healthy Minds Innovations, focused on helping people and communities build mental wellbeing and flourish. Its work spans digital tools and courses such as the Emotions Quiz, Phone Habits, and Flourishing Course; resources for teachers and educators; and science services that help organizations and researchers measure and apply wellbeing outcomes. Combining evidence-based interventions with wellbeing research, Humin serves individuals, educational communities, and organizations seeking practical ways to understand and support mental wellbeing.
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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.

USUnited States
$125,000 / year
RemoteFull-timeJuniorMiddleNo degree requiredEnglish RequiredData Scientist
PythonSQL

Description

  • 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

Requirements

  • 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

Benefits

  • 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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