Staff Data Scientist - Performance Marketing at GoFundMe

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, MarketingIndustries

Requirements

8+ years of experience in data science or applied ML, with at least 5 years focused on paid marketing or growth analytics
Master’s or Ph.D. in a quantitative discipline (Statistics, Economics, Computer Science, Mathematics, or related field) or equivalent applied experience
Advanced proficiency in Python (NumPy, pandas, scikit-learn) and SQL (window functions, performance tuning)
Hands-on experience designing, analyzing, and interpreting A/B tests and experimentation frameworks
Expertise in statistical inference, causal modeling (regression, propensity scoring), uplift modeling, and marketing attribution models (multi-touch attribution, Markov chains)
Proven track record in time-series forecasting and budget allocation models
Familiarity with ETL frameworks, data warehousing, and APIs; hands-on experience with Databricks and Snowflake is a plus
Data visualization skills using Looker or equivalent BI tools; strong storytelling and presentation abilities
Exceptional communication skills: able to influence non-technical stakeholders and present complex analyses to executive audiences
Demonstrated ability to define technical strategy
Located in the San Francisco, Bay Area with an in-office requirement of 3x a week

Responsibilities

Lead end-to-end marketing data science initiatives: Define analytical strategy, develop models, and deliver insights that drive measurable impact on user acquisition, retention and efficiency
Develop advanced attribution and causal frameworks: Build and/or evolve models including multi-touch attribution, media mix modeling, causal inference, and uplift modeling to quantify incremental impact
Advance predictive and prescriptive modeling: Design time-series, optimization, and budget allocation models to forecast ROI and guide marketing investment decisions
Operationalize AI in marketing workflows: Research and implement AI/ML systems for targeting, bidding, and creative optimization by leveraging predictive and generative methods to improve campaign efficiency
Enhance experimentation frameworks: Partner with engineering to expand statistical testing infrastructure, ensuring scalable, accurate causal measurement across campaigns and channels
Act as a technical thought leader: Shape best practices in feature engineering, model versioning, validation, and deployment for marketing science applications
Explore adaptive experimentation: Research, apply and refine multi-arm and contextual bandit algorithms to optimize budget allocation and message selection in near real-time
Collaborate cross-functionally: Partner with Marketing, Growth, and Finance teams to interpret insights, influence strategy, and align data science work with business goals
Mentor and elevate: Guide other data scientists technically through design reviews, model audits, and shared learning sessions, helping scale best practices across the org

Skills

Key technologies and capabilities for this role

Causal InferenceMulti-Touch AttributionMedia Mix ModelingUplift ModelingTime Series ForecastingReinforcement LearningOptimization ModelingAI/MLPredictive ModelingGenerative AIStatistical TestingExperimentation Frameworks

Questions & Answers

Common questions about this position

What is the location requirement for this role?

Candidates must be located in the San Francisco Bay Area with an in-office requirement of 3 days a week.

What experience is required for this position?

The role requires 8+ years of experience in data science or applied ML, with at least 5 years focused on paid marketing or growth analytics, and a Master’s or Ph.D. in a quantitative discipline such as Statistics, Economics, or Computer Science.

What salary or compensation does this role offer?

This information is not specified in the job description.

What are the key responsibilities of this Staff Data Scientist role?

The role involves leading marketing data science initiatives, developing attribution and causal models, advancing predictive modeling, operationalizing AI in workflows, enhancing experimentation, and mentoring other data scientists.

What makes a strong candidate for this position?

A strong candidate has 8+ years in data science with 5+ years in paid marketing analytics, advanced expertise in causal inference, forecasting, reinforcement learning, and a graduate degree in a quantitative field, plus experience mentoring and collaborating cross-functionally.

GoFundMe

Online platform for crowdfunding and fundraising

About GoFundMe

GoFundMe is an online platform that enables individuals and organizations to raise money for various needs and aspirations. Users can create fundraising campaigns in just five minutes by sharing their stories and soliciting donations from their networks and beyond. The platform caters to a wide range of clients, including those facing medical emergencies, families in need of memorial funds, students seeking educational support, and nonprofits looking for financial assistance. GoFundMe operates globally and has built a community of over 100 million people who have collectively raised $25 billion through more than 200 million donations. The company generates revenue through voluntary tips from donors and a small transaction fee on each donation, which helps cover payment processing costs and maintain platform security. GoFundMe's goal is to provide a safe and user-friendly experience for both donors and recipients, leveraging community support to help people meet their financial needs.

Redwood City, CaliforniaHeadquarters

2010Year Founded

$1,178.5MTotal Funding

SERIES_ACompany Stage

Fintech, Social ImpactIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Hybrid Work Options

Family Planning Benefits

Commuter Benefits

Parental Leave

Unlimited Paid Time Off

Mental Health Support

Wellness Program

Professional Development Budget

Conference Attendance Budget

Risks

Emerging crowdfunding platforms with lower fees could attract users away from GoFundMe.

Partnership with Meta may expose GoFundMe to privacy concerns, affecting user trust.

Reliance on voluntary tips may be unsustainable during economic downturns.

Differentiation

GoFundMe is the most trusted name in crowdfunding since its founding in 2010.

The platform serves diverse clients, from individuals to nonprofits, globally.

GoFundMe's user-friendly interface allows fundraisers to start campaigns in five minutes.

Upsides

Collaboration with Meta enhances social sharing, boosting fundraiser reach and effectiveness.

Specific relief funds for disasters position GoFundMe as a go-to emergency platform.

Partnerships with organizations enhance GoFundMe's reputation as a socially responsible platform.

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