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Staff Data Scientist (Pricing)

GoFundMeSan Diego, CA; San Francisco, CAData
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Salary
$179,500 - $269,500 USD
Job type
Full-time
Posted
29 Jan 2026
Status
Open · checked 7d ago

About this role

The Staff Data Scientist (Pricing) position at GoFundMe is a senior individual contributor role based in San Diego or San Francisco, CA, requiring an in-office presence three times a week. This opportunity is ideal for an experienced quantitative professional passionate about driving the science, strategy, experimentation, and AI deployment behind pricing and yield optimization at a mission-driven organization.

Role Overview

This position sits at the intersection of economics, behavioral science, experimentation, and machine learning. The primary responsibility is to optimize donation conversion, donation amounts, and the overall donor experience across the product surface. The candidate will own donation pricing and amount optimization end-to-end, defining analytical strategies, modeling frameworks, and success metrics that balance conversion with long-term donor trust.

Key Responsibilities

Apply economic theory, behavioral science, and machine learning to model human behavior, estimate elasticity, and predict responses to product design changes.
Leverage sparse and non-transactional behavioral signals like navigation, hesitation, context, device, and timing to detect shifts in intent.
Design adaptive and reinforcement-aware systems, utilizing concepts like contextual bandits or sequential decision-making.
Partner with Product and Engineering to lead robust experimentation and causal learning frameworks.
Augment behavioral models with external datasets, including macroeconomic indicators, seasonality, and regional signals.
Translate complex economic and behavioral analyses into deployable models and clear product recommendations.
Communicate insights effectively to senior leaders and mentor other data scientists to elevate pricing science across the organization.

Requirements

Either a 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.
Deep experience applying economic reasoning, causal inference, and behavioral modeling to real-world problems.
Strong foundation in econometrics, price elasticity, choice modeling, and decision science.
Advanced proficiency in Python and SQL.
Demonstrated ability to leverage modern AI tools, coding agents, and LLM-based solutions for complex decisioning problems.

Nice to Have

Experience in consumer pricing, marketplaces, or digital payments and donations.
Experience partnering with engineering to productionize models and AI-driven systems in live environments.
Familiarity with modern data platforms such as Snowflake and Databricks, alongside experimentation infrastructure.
Strong data visualization, documentation, and executive-ready presentation skills.

Skills and Tools

Python (pandas, NumPy, scikit-learn, PyMC/Stan)
SQL
LLM-based solutions and AI coding assistants
Snowflake and Databricks
Econometrics, causal inference, and choice modeling

Salary and Benefits

Annual U.S. base salary range of $179,500 to $269,500, with potential geolocation differentials and adjustments based on skills, experience, and education.
Comprehensive healthcare benefits including medical, dental, vision, and life insurance.
401(k) savings program.
Financial assistance for hybrid work and family planning, generous parental leave, flexible time-off policies, and mental health resources.
Learning, development, recognition programs, and employee resource groups.

About the Company

GoFundMe is the world’s most powerful community for good, helping people ask for help and support causes since 2010. The community has raised more than $40 billion through a platform uniting individuals and nonprofits. The organization operates under core values that include being impatient to be great, finding a way, earning trust every day, and being fueled by purpose.

How to Apply

Interested candidates should apply directly on the official GoFundMe careers page.

Skills and tech stack

PythonSQLLLMSnowflake

Questions candidates ask

What is the location requirement for this role?

Candidates must be located in the San Francisco Bay Area or San Diego, CA, with an in-office requirement of three times a week.

What are the education and experience qualifications?

Candidates must hold either a Ph.D. in Economics, Applied Economics, or a closely related quantitative field, or have 8+ years of industry experience in data science, applied economics, pricing, marketplace optimization, or monetization at a high-tech digital company.

What technical skills are required?

Advanced proficiency in Python and SQL is required, along with a strong foundation in econometrics, causal inference, behavioral modeling, and experience with modern AI tools or LLM-based solutions.

What is the salary range for the Staff Data Scientist position?

The annual U.S. salary range for this full-time position is $179,500 to $269,500, with potential increases based on work location, skills, experience, and education.

What benefits does GoFundMe offer?

GoFundMe offers comprehensive healthcare benefits, dental, vision, life insurance, a 401(k) savings program, equity, financial assistance for hybrid work and family planning, generous parental leave, flexible time-off, and mental health resources.

Ready to apply?

The application is on the official GoFundMe careers page.

Apply on company site