Senior Manager of Data Science, GoFundMe

• 8+ years in data science, analytics, or a related quantitative field, including significant experience leading teams or cross-functional initiatives
• Experience setting direction and delivering impact across multiple business or product domains
• Track record of developing data science and analytics talent, including senior individual contributors and emerging leaders
• 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
• Proficiency in Python and SQL; able to assess analytical approaches and guide technically complex work
• Deep experience with experimentation, causal inference, and measurement, and translating findings into business or product decisions
• Experience with forecasting, optimization, predictive modeling through machine learning or other methods that support organizational decisions
• Ability to assess data models, metrics, workflows, and platforms, and partner effectively with Engineering and Data Platform
• Experience with BI and analytics tools such as Looker, Hex, or equivalent is a plus
• Marketing science expertise in media mix modeling, multi-touch attribution, uplift modeling and/or marketing experimentation is a strong plus
• Experience leading through senior individual contributors, technical leads, or managers and developing people as the organization grows
• Strong communication and executive influence; able to explain analytical findings clearly and practically
• 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

Desirable

• We’re looking for a Senior Manager, Data Science & Analytics to lead and grow the teams that help GoFundMe make better decisions
• You’ll 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’ll lead through experienced data scientists and technical leads, building strong partnerships across Product, Engineering, Marketing, Finance, Trust & Safety etc
• You’ll balance strategic leadership with close engagement in high-impact work, and help the organization build the capabilities, practices, and talent needed to deliver lasting value
• Set the direction for Data Science & Analytics: Define a company-wide vision, priorities, and operating practices that connect analytical work to GoFundMe’s most important goals
• Raise data maturity and rigor across the company: Improve how teams frame questions, measure outcomes, use experiments, and apply evidence to decisions
• Lead a broad portfolio of work: Guide data science and analytics across all the functions that make GoFundMe successful
• Focus on measurable impact: Prioritize work that improves decisions and outcomes, and establish clear ways to assess its value over time
• Strengthen analytical foundations: Set standards for trusted metrics, high-quality analysis, reproducible work, documentation, and responsible use of data and AI. Partner with Engineering and Data Platform on the foundations and infrastructure that support these practices
• Guide end-to-end delivery: Ensure teams take important work from problem definition and analysis through recommendations, implementation, and measurement of results
• Build strong cross-functional partnerships: Work with leaders across the company to understand their needs, align priorities, and make data science and analytics a trusted partner in decision-making
• Develop the organization: Lead and develop experienced data scientists and technical leads. Build leadership capacity, strengthen collaboration across teams, and create clear expectations for quality and impact
• Advance applied AI and modeling: Identify opportunities to use predictive, causal, and generative AI methods to improve products, operations, and business decisions, partnering with the teams responsible for production systems where appropriate
• Communicate with clarity: Translate complex analysis into concise actionable recommendations, communicate tradeoffs, and help senior leaders make informed decisions
• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together