GoFundMe is looking for a Data Science Manager to architect and lead the next generation of marketing data science, building and scaling the foundations of applied data science and AI to empower Marketing, Growth, and Finance teams to make high-confidence, ROI-positive investment decisions.
Requirements
- Advanced proficiency in Python (NumPy, pandas, scikit-learn) and SQL (window functions, optimization).
- Deep experience with experimentation frameworks: A/B testing, causal inference, uplift modeling, and attribution models.
- Proven success in forecasting, optimization, and budget allocation models for marketing and growth functions.
- Hands-on with data platforms (Snowflake, Databricks) and BI tools (Looker, Tableau, or equivalent).
- Strong data storytelling and executive presentation abilities.
- Familiarity with experimentation and web/mobile analytics platforms (Optimizely, GrowthBook, Google Analytics, Amplitude).
- Experience integrating with marketing APIs (Google, Meta, programmatic platforms) for campaign optimization.
Responsibilities
- Build a strong AI and data science foundation: Develop scalable pipelines, reusable modeling frameworks, and robust experimentation platforms to support marketing and growth decision-making.
- Lead end-to-end data science & AI projects: From requirements gathering through feature engineering, modeling, validation, deployment, and monitoring.
- Establish best practices: Champion standards in model governance, reproducibility, data quality, and system reliability to ensure sustainable and trustworthy AI adoption.
- Drive marketing science innovation: Apply advanced methods—causal inference, uplift modeling, multi-touch attribution, and media mix modeling—to unlock insights and optimize spend.
- Advance forecasting & ROI modeling: Deliver budget allocation frameworks and predictive models that guide long-term roadmap planning and marketing efficiency.
- Partner cross-functionally: Work closely with Marketing, Growth, Product, Engineering, and Finance leaders to align analytics initiatives with revenue impact.
- Invest in people: Mentor, coach, and elevate a team of high-performing data scientists; foster a culture of technical rigor, curiosity, and applied innovation.
Other
- 8+ years of experience in data science roles with direct impact on marketing, growth, or revenue optimization.
- Master’s or Ph.D. in a quantitative field (Statistics, Mathematics, Economics, Computer Science, Physics, Operations Research or related), or equivalent applied experience.
- Exceptional communication skills with the ability to influence executive stakeholders and translate data into actionable business recommendations.
- Experience developing senior data scientists and elevating team practices.
- In-office requirement of 3x a week in the San Francisco, Bay Area.
