Backed by Accel, Greylock and Norwest.
About the role
We’re looking for a Data Science Manager to architect and lead the next generation of marketing data science at GoFundMe. This role will build and scale the foundations of applied data science and AI that empower our Marketing, Growth, and Finance teams to make high-confidence, ROI-positive investment decisions. You’ll serve as a player-coach for a talented group of experienced data scientists, driving innovation while ensuring excellence in delivery.
What they're looking for
- 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
- Advanced proficiency in Python (NumPy, pandas, scikit-learn) and SQL (window functions, optimization). (Please note, advance python and SQL proficiency will be tested during the interview process for this position.)
- 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)
More about this role
GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.
We’re looking for a Data Science Manager to architect and lead the next generation of marketing data science at GoFundMe. This role will build and scale the foundations of applied data science and AI that empower our Marketing, Growth, and Finance teams to make high-confidence, ROI-positive investment decisions. You’ll serve as a player-coach for a talented group of experienced data scientists, driving innovation while ensuring excellence in delivery.
Candidates considered for this role will be located in the San Francisco, Bay Area. There will be an in-office requirement of 3x a week.
- 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...
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