Staff Data Scientist

Join GoFundMe as a Staff Data Scientist, where you will lead high-impact data science initiatives across marketing, growth, and product. You will define technical strategy, build scalable measurement and modeling frameworks, and translate complex analyses into clear recommendations. This role requires advanced proficiency in SQL and Python, strong business judgment, and 8+ years of experience in data science or machine learning projects. Enjoy a range of benefits, including health insurance, fitness reimbursement, and a 401(k) retirement plan with company matching.

• Lead high-impact data science initiatives across marketing, growth, and product, from problem definition through methodology, execution, interpretation, and recommendation.
• Define org-level technical strategy, identify high-leverage opportunities, and establish best practices for experimentation, causal measurement, modeling, AI-assisted development, and decision science.
• Design, analyze, and interpret experiments and quasi-experiments; build scalable frameworks to estimate incrementality, treatment effects, and long-term business value.
• Experience with marketing, growth, marketplace, and/or product optimization problems
• Advanced proficiency with SQL and Python for data extraction, transformation, modeling, and analysis
• Experience using AI-assisted tools to increase the speed and quality of analysis, coding, iteration, and communication
• Strong command of statistical inference, causal inference, uplift modeling, heterogeneous treatment effects, treatment/control frameworks, and incrementality measurement
• Experience mentoring data scientists, analysts, or other technical team members
• Strong business judgment and stakeholder management skills
• 8+ years of experience leading data science, applied statistics, or machine learning projects with measurable business impact
• Experience applying machine learning to targeting, personalization, segmentation, recommendation, lifecycle optimization, or similar problems
• Familiarity with adaptive experimentation, including frequentist A/B tests, multi-arm bandits, contextual bandits, and/or related optimization methods
• Excellent communication and storytelling skills, including experience presenting to executive audiences
• Master’s degree or Ph.D. in a quantitative field, or equivalent applied experience coupled with a bachelor’s degree
• Ability to define technical strategy, identify reusable patterns, and raise the quality of data science work across teams
• Experience with web, mobile, product, or marketplace analytics tools such as Amplitude, Google Analytics, Optimizely, or GrowthBook
• Experience with marketing measurement methods such as media mix modeling, multi-touch attribution, channel incrementality, forecasting, budget allocation, optimization, or ROI modeling
• Familiarity with modern data platforms and workflows such as Snowflake, Databricks, dbt, Airflow, Git, Looker, Tableau, or similar tools
• Experience operationalizing AI or ML workflows with engineering partners