Backed by Accel, Greylock and Norwest.
About the role
We’re looking for a Staff Data Scientist (Pricing) to serve as the senior individual contributor driving the science, strategy, experimentation and AI deployment behind pricing and yield optimization at GoFundMe. This role sits at the intersection of economics, behavioral science, experimentation, and machine learning, with direct responsibility for optimizing donation conversion, donation amounts, and donor experience across the product.
What they're looking for
- Deep experience applying economic reasoning, causal inference, and behavioral modeling to real-world decision-making problems
- Demonstrated ability to own ambiguous, high-impact problems and deliver measurable business outcomes
- Strong foundation in econometrics, causal inference, and behavioral modeling
- Deep understanding of price elasticity, choice modeling, and decision science
- Experience modeling noisy, sparse, or non-transactional behavioral data
- Hands-on experience designing and interpreting experiments and causal signals
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 Staff Data Scientist (Pricing) to serve as the senior individual contributor driving the science, strategy, experimentation and AI deployment behind pricing and yield optimization at GoFundMe. This role sits at the intersection of economics, behavioral science, experimentation, and machine learning, with direct responsibility for optimizing donation conversion, donation amounts, and donor experience across the product.
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.
- Own donation pricing and amount optimization end-to-end: Define the analytical strategy, modeling frameworks, and success metrics for pricing recommendations across product surfaces, balancing conversion, donation amounts, and long-term donor trust.
- Model human behavior using...
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