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About the Role

GoFundMe is seeking a Staff Data Scientist (Pricing) to lead the science, strategy, experimentation, and AI deployment for pricing and yield optimization. This role focuses on optimizing donation conversion, amounts, and donor experience by integrating economics, behavioral science, experimentation, and machine learning.

Responsibilities

• Own donation pricing and amount optimization end-to-end, defining analytical strategy, modeling frameworks, and success metrics.
• Model human behavior using economics and AI, applying economic theory, behavioral science, and machine learning to understand donor decision-making.
• Leverage non-transactional behavioral signals to detect shifts in intent and interaction patterns.
• Build adaptive and reinforcement-aware systems using experimentation signals and feedback loops.
• Lead experimentation and causal learning by partnering with Product and Engineering to design robust frameworks.
• Incorporate external data and context to augment behavioral models.
• Translate complex analyses into deployable models, product recommendations, and measurable business impact.
• Influence through storytelling and leadership, communicating insights to senior leaders.
• Raise the technical bar by setting best practices and mentoring other data scientists.

Requirements

• Ph.D. in Economics, Applied Economics, or a closely related quantitative field, OR 8+ years of industry experience in data science, applied economics, pricing, marketplace optimization, or monetization at a high-tech digital company.
• Proven track record of owning and scaling pricing or decisioning systems.
• 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.

Skills

• Econometrics
• Causal inference
• Behavioral modeling
• Price elasticity
• Choice modeling
• Decision science
• Modeling noisy, sparse, or non-transactional behavioral data
• Designing and interpreting experiments and causal signals
• Reinforcement learning
• Bandits
• Adaptive optimization concepts
• Python (pandas, NumPy, scikit-learn, PyMC/Stan or equivalent)
• SQL
• Building, validating, and iterating on complex analytical and modeling workflows
• Leveraging modern AI tools and coding agents
• Designing or applying LLM-based or AI-assisted solutions to complex decisioning problems

Location

• San Francisco Bay Area

Work Type

• Hybrid (3x a week in-office requirement)

Experience Level

• Staff level
• 8+ years of industry experience (if no Ph.D.)

Education Level

• Ph.D. in Economics, Applied Economics, or a closely related quantitative field

Salary/Compensations

• $179,500 - $269,500

Benefits

• Equity
• Comprehensive healthcare benefits
• Dental
• Vision
• Life insurance
• 401(k) saving program
• Financial assistance for hybrid work
• Family planning assistance
• Generous parental leave
• Flexible time-off policies
• Mental health and wellness resources
• Learning, development, and recognition programs
• Volunteering program

About the Company

• GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other.
• GoFundMe unites individuals and nonprofits, making it easy and safe for people to ask for help and support causes.
• The GoFundMe community has raised more than $40 billion since 2010.
• GoFundMe partners with GoFundMe.org, an independent public charity, to extend the reach and impact of its community and drive social change.

Equal Opportunity

• GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.
• We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.