Senior Manager of Data Science

Join GoFundMe as a Senior Manager of Data Science & Analytics. In this role, you will set the direction for data science and analytics across the company, strengthen data maturity and analytical rigor, and help teams turn complex questions into clear, actionable insights. You will lead a broad portfolio of work, focus on measurable impact, strengthen analytical foundations, guide end-to-end delivery, build strong cross-functional partnerships, develop the organization, advance applied AI and modeling, communicate with clarity, and make an impact. Enjoy a range of benefits including health insurance, fitness reimbursement, and a collaborative work environment.

• Definir una visión y prioridades para la ciencia de datos y la analítica en toda la empresa, alineando el trabajo analítico con los objetivos más importantes de GoFundMe.
• Mejorar la madurez de los datos y la rigurosidad analítica en toda la empresa, guiando a los equipos en la formulación de preguntas, la medición de resultados y la aplicación de evidencia a las decisiones.
• Liderar un amplio portafolio de trabajo en ciencia de datos y analítica, priorizando el trabajo que mejora las decisiones y los resultados, y estableciendo formas claras de evaluar su valor a lo largo del tiempo.

• Master’s or Ph.D. in statistics, mathematics, economics, computer science, physics, operations research, or a related field or equivalent applied experience. Applied experience carries more weight than education
• Strong communication and executive influence; able to explain analytical findings clearly and practically
• Marketing science expertise in media mix modeling, multi-touch attribution, uplift modeling and/or marketing experimentation is a strong plus
• Ability to assess data models, metrics, workflows, and platforms, and partner effectively with Engineering and Data Platform
• Deep experience with experimentation, causal inference, and measurement, and translating findings into business or product decisions
• Ability to set vision and priorities, balance long-term capability building with near-term results, and apply sound judgment about where analysis, experimentation or AI can improve decisions
• Experience with BI and analytics tools such as Looker, Hex, or equivalent is a plus
• 8+ years in data science, analytics, or a related quantitative field, including significant experience leading teams or cross-functional initiatives
• Experience leading through senior individual contributors, technical leads, or managers and developing people as the organization grows
• Experience with forecasting, optimization, predictive modeling through machine learning or other methods that support organizational decisions
• Proficiency in Python and SQL; able to assess analytical approaches and guide technically complex work
• Track record of developing data science and analytics talent, including senior individual contributors and emerging leaders
• Experience setting direction and delivering impact across multiple business or product domains
• Data science experience in consumer products, marketplaces, nonprofits, payments, or fundraising
• Marketing and growth measurement experience, including MMM, attribution, audience segmentation, or campaign optimization
• Familiarity with product experimentation and web or mobile analytics tools such as Optimizely, GrowthBook, Google Analytics, or Amplitude
• Experience applying generative AI or LLMs to products or workflows
• Familiarity with machine learning operations, model monitoring, or scalable data transformation