Senior Data Scientist at Givelify, a fintech-for-good company, will be an early and foundational member of the Data Science & Insights team, contributing across product and business analytics. This fully remote, U.S.-based role involves building the organization’s BI infrastructure and delivering dashboards, metrics, experimentation, and modeling to provide transparent, reliable visibility into performance. As a senior generalist individual contributor, you will move fluidly across problems and apply rigorous analytics wherever needed. You will: - Own development of org-wide dashboards that provide clear, actionable insights into company performance, health, and execution velocity. - Define, instrument, and maintain the metrics that matter in partnership with cross-functional teams. - Design and execute rigorous A/B and multivariate experiments to establish causation before solutions launch. - Collaborate with the Data Science & Insights team to advance experimentation, address methodological challenges, and enable robust testing in complex scenarios. - Build predictive and behavioral models (e.g., segmentation, churn, propensity) to deepen understanding of donor and organizational behavior. - Translate complex analyses into clear, decision-ready recommendations for executives and stakeholders. - Own outcomes, drive collaboration, and contribute to a culture of experimentation and responsible AI. Qualifications: - 5–8+ years in data science, BI, applied statistics, or related fields; Master’s or Ph.D. in Statistics, Data Science, Operations Research, Mathematics, Econometri

Senior Data Scientist at Givelify, a fintech-for-good company, will be an early and foundational member of the Data Science & Insights team, contributing across product and business analytics. This fully remote, U.S.-based role involves building the organization’s BI infrastructure and delivering dashboards, metrics, experimentation, and modeling to provide transparent, reliable visibility into performance. As a senior generalist individual contributor, you will move fluidly across problems and apply rigorous analytics wherever needed. You will: - Own development of org-wide dashboards that provide clear, actionable insights into company performance, health, and execution velocity. - Define, instrument, and maintain the metrics that matter in partnership with cross-functional teams. - Design and execute rigorous A/B and multivariate experiments to establish causation before solutions launch. - Collaborate with the Data Science & Insights team to advance experimentation, address methodological challenges, and enable robust testing in complex scenarios. - Build predictive and behavioral models (e.g., segmentation, churn, propensity) to deepen understanding of donor and organizational behavior. - Translate complex analyses into clear, decision-ready recommendations for executives and stakeholders. - Own outcomes, drive collaboration, and contribute to a culture of experimentation and responsible AI. Qualifications: - 5–8+ years in data science, BI, applied statistics, or related fields; Master’s or Ph.D. in Statistics, Data Science, Operations Research, Mathematics, Econometri