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Humin
Humin
11 – 50 Angajați
EducațieStare de bineȘtiință
Humin este o organizație dedicată bunăstării, bazată pe știință, cunoscută anterior sub numele Healthy Minds Innovations, care se concentrează pe sprijinirea oamenilor și comunităților în dezvoltarea bunăstării mintale și a unei vieți împlinite. Activitatea sa cuprinde instrumente și cursuri digitale, precum Emotions Quiz, Phone Habits și Flourishing Course; resurse pentru profesori și educatori; precum și servicii științifice care ajută organizațiile și cercetătorii să măsoare și să aplice rezultatele privind bunăstarea. Prin combinarea intervențiilor bazate pe dovezi cu cercetarea în domeniul bunăstării, Humin sprijină persoane, comunități educaționale și organizații care caută modalități practice de a înțelege și susține bunăstarea mintală.
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Locurile de muncă ale companiei

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.

USStatele Unite ale Americii
125.000 $ / an
RemoteNormă întreagăJuniorNivel mediuNu este necesară o diplomăLimbă Obligatorie: englezăSpecialist în știința datelor
PythonSQL

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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