FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data science and product analytics, with a strong focus on event data, statistical analysis, and user behavior insights. Proficient in SQL and Python or R, with the ability to communicate complex findings to non-technical stakeholders.
Highest-signal resume keywords
Data Science ExperienceProduct AnalyticsFluency in SQLProficiency in Python or RExperience with Experiment Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Event Data AnalysisStatistical AnalysisFunnel AnalysisCohort AnalysisRetention AnalysisPredictive ModelingData Quality ChecksMeasurement DesignPsychometric PrinciplesData Pipeline Troubleshooting
Soft Skills
Clear CommunicationStakeholder EngagementAnalytical ThinkingCollaborationCommitment to Wellbeing
Industry Keywords
Wellbeing ScienceBehavioral HealthNonprofit SectorDiversity, Equity, and InclusionA/B TestingCausal InferenceUser ExperienceMarketing AnalyticsMobile SDK InstrumentationGrant Reporting
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 2 to 4 years of experience in data science, product analytics, or a related analytical role, or equivalent graduate research experience
- Hands-on experience working with event or product data, including partnering with Engineering on instrumentation and data quality
- Product analytics and applied statistical experience, including funnel, cohort, retention, and related approaches for understanding user behavior and outcomes
- Fluency in SQL
- Proficiency in Python or R
- Experience working with data pipelines and troubleshooting data-quality issues
- Ability to turn a stakeholder's question into clear data requirements and communicate findings clearly to non-technical audiences
- Deep interest and commitment in, or lived alignment with, wellbeing, mindfulness, and the science of human flourishing
- Ability to work in the US without requiring sponsorship
- Willingness to travel occasionally for staff gatherings and other organizational meetings and events
- Background check required as part of pre-employment screening
- Preferred: Experience designing or analyzing experiments, including A/B tests, or exposure to causal inference or quasi-experimental methods
- Preferred: Familiarity with measurement design and psychometric concepts, including validated instruments and interpreting meaningful change
- Preferred: Experience applying predictive modeling or survival analysis
- Preferred: Experience in behavioral health, wellbeing science, or another research-informed product environment
- Preferred: Experience with marketing, mobile, or business/revenue analytics
- Preferred: Experience with mobile SDK instrumentation or reconciling and migrating legacy data
- Preferred: Experience in a nonprofit or dual-revenue organization
- Awareness of and commitment to diversity, equity, and inclusion principles
Benefits
Comp & perks- Comprehensive health and benefits package
- Generous paid time off
- Flexible/remote work arrangements
- Professional development resources
- Organization-wide forums and professional development opportunities
- Opportunities to contribute to research publications