Senior Data Scientist

About the position

GoFundMe is a global community of over 150 million people who come together every day with the common purpose of helping one another. Our mission is to help people help each other through our best in class technology. In 2022, GoFundMe joined together with Classy, a leading nonprofit fundraising software company that enables nonprofits to connect supporters with the causes they care about. Together, we have empowered people and organizations to raise more than $30 billion since 2010. Our vision is to become the most helpful place in the world. Join us! The GoFundMe team is searching for our next Sr. Data Scientist to help us build the future of giving through data-driven decision-making. You will work with an accomplished team to drive impact through insights and advanced analytics.

Responsibilities

• Lead high-impact projects from ideation to delivery, working cross-functionally to ensure measurable results
• Serve as a trusted advisor to the Product, Engineering, Design, and Data teams to empower data-driven decision making and help people help each other
• Drive product strategy by delivering forward-looking insights and recommending data-informed roadmaps
• Own the design, execution, and analysis of A/B tests to guide product innovation and optimize user experience
• Build and deploy Foundational Models (e.g., segmentation, retention, LTV) that inform strategic decisions across our giving marketplace
• Partner cross-functionally to uncover new analytical opportunities that drive business performance

Requirements

• 5+ years of experience in product data science, analytics, or an equivalent field
• Expertise in formulating and executing multivariate and A/B tests
• Advanced SQL for querying and transforming data
• Proficiency in Python for modeling, forecasting, and statistical analysis
• Familiarity with a range of statistical and machine learning methods
• Proven ability to prioritize and manage business requests through structured scoping and stakeholder alignment
• Strong presentation and storytelling skills to translate data into strategic insights

Nice-to-haves

• A Master’s degree or PhD in a quantitative field (Mathematics, Statistics, Economics, Engineering, or related) is a plus
• Experience developing churn, retention, or customer LTV models to inform customer lifecycle or engagement strategy
• Familiarity with advanced experimentation techniques (e.g., Multi-Armed Bandits, uplift modeling) for personalization or dynamic optimization

Benefits

• 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
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, and commuting, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
• Community Engagement: Make a difference through our volunteering and Gives Back programs