Manager, Data Science

About the role

GoFundMe is the leading platform where people unite to help others, connecting individuals and nonprofits in one space to make asking for support simple and secure. People turn to this community to raise funds for personal causes and to champion causes they believe in. Since 2010, this community has achieved a remarkable milestone, raising over $40 billion to support meaningful needs. The company is now seeking a Data Science Manager to define and lead the next wave of marketing data science, creating the tools and frameworks that empower teams to make confident, high-return decisions. This position is based in San Francisco, California, and requires a commitment to work from the office three days per week.

This role is central to shaping how GoFundMe approaches marketing intelligence and growth. You will own the data strategy that turns high-level business questions into rigorous analytical plans. Leading a team of analysts and scientists, you will guide projects from initial concept through deployment, ensuring every solution meets the highest standards of accuracy and reliability. Your work will directly influence how marketing budgets are allocated and how campaigns are optimized for maximum impact. The position blends technical depth with strategic leadership, requiring equal parts hands-on problem-solving and the ability to set a clear, inspiring vision.

What You Will Do

You will design and refine intake processes that convert ambiguous marketing challenges into structured, data-ready questions. This involves collaborating with stakeholders to understand goals and constraints, then translating them into analytical frameworks. You will architect the core data pipelines and reusable tools that transform raw event streams into reliable, actionable insights for marketing and growth initiatives. Leading rigorous review sessions will be a core responsibility, where you challenge experimental designs, metric choices, and underlying assumptions before major investments are made. You will also own the execution of ship rituals, ensuring models and dashboards move from development in notebooks to stable, production-grade systems with clear accountability.

Driving cross-functional partnerships is another critical component of this role. You will work alongside Marketing, Growth, Finance, and Product leaders to ensure analytical initiatives are tightly aligned with revenue generation and overall business objectives. Establishing and maintaining governance standards will be essential, focusing on model integrity, data quality, and methodological transparency to build long-term trust in the insights produced. You will apply advanced marketing science techniques, including causal inference, uplift modeling, and media mix analysis, to uncover powerful levers for growth. Finally, you will advance forecasting and ROI modeling capabilities, creating budget allocation frameworks and predictive tools that guide strategic roadmap decisions and maximize marketing efficiency.

Key Facts

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Location: USA

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Engagement: Full-time employment.

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Compensation: Base salary of $180,000, with a total target compensation of $240,000 for 2025.

Requirements

Success in this role demands a proven track record of eight or more years delivering data science results that directly impact marketing or growth performance. You must hold a Master's degree or Ph.D. in a quantitative discipline or possess equivalent applied experience in the field. Proficiency in Python is non-negotiable; you should be adept at using libraries like NumPy and pandas for data manipulation and complex modeling. Your SQL skills must extend to writing optimized queries that utilize window functions and advanced patterns. You should have a strong background in designing and running controlled experiments, including A/B tests, and applying causal inference and uplift modeling techniques. Experience building forecasting and optimization models for marketing and growth functions is essential. You must also be comfortable working with modern data platforms such as Snowflake and Databricks, as well as BI tools like Looker or Tableau to deliver production-level analytics. Clear communication with executive stakeholders and the ability to translate complex findings into concrete actions are required.

Nice to Have

Experience applying generative AI methods to areas such as audience segmentation or creative optimization is a valued addition.

Skills & Tools

Expertise in Python, SQL, Snowflake, Databricks, Looker, and Tableau.

Practical Notes

Please confirm all details on the official application page before submitting your materials.