Staff Data Scientist - Performance Marketing Jobs

GoFundMe

Location:
United States, San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

166500.00 - 249500.00 USD / Year

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Job Description:

We’re looking for a Staff Data Scientist to serve as the senior individual contributor driving the evolution of performance marketing science at GoFundMe. This role will own the technical roadmap, modeling frameworks, and AI capabilities that help our Marketing and Growth teams make high-confidence, ROI-positive investment decisions. You’ll collaborate with leaders across Data Science, Marketing, Finance, and Engineering to design scalable systems that blend causal inference, forecasting, and reinforcement learning to optimize performance across channels and audiences.

Job Responsibility:

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

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
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, elevate team practices, and drive high-impact initiatives
Experience mentoring and developing junior data professionals

Nice to have:

Familiarity with SQL-based experimentation platforms (Optimizely, GrowthBook) and web/mobile analytics tools (Google Analytics, Amplitude)
Version control proficiency (Git) and collaborative coding workflows
Hands-on experience with Databricks and Snowflake is a plus

What we offer:

Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
Community Engagement: Make a difference through our volunteering program
equity + benefits

Additional Information:

Job Posted:
December 08, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Staff Data Scientist - Performance Marketing