The company is looking to build the future of giving through data-driven decision-making.
Requirements
- Expertise in formulating and executing multivariate and A/B tests
- Advanced SQL for querying and transforming data
- Proficiency in Python for modeling, forecasting, and statistical analysis
- Familiarity with a range of statistical and machine learning methods
- Experience developing churn, retention, or customer LTV models to inform customer lifecycle or engagement strategy
- Familiarity with advanced experimentation techniques (e.g., Multi-Armed Bandits, uplift modeling) for personalization or dynamic optimization
- Proficiency in Foundational Models (e.g., segmentation, retention, LTV)
Responsibilities
- Lead high-impact projects from ideation to delivery, working cross-functionally to ensure measurable results
- Own the design, execution, and analysis of A/B tests to guide product innovation and optimize user experience
- Build and deploy Foundational Models (e.g., segmentation, retention, LTV) that inform strategic decisions across our giving marketplace
- Partner cross-functionally to uncover new analytical opportunities that drive business performance
- Drive product strategy by delivering forward-looking insights and recommending data-informed roadmaps
- Serve as a trusted advisor to the Product, Engineering, Design, and Data teams to empower data-driven decision making
- Formulate and execute multivariate and A/B tests
Other
- 5+ years of experience in product data science, analytics, or an equivalent field
- Strong presentation and storytelling skills to translate data into strategic insights
- Proven ability to prioritize and manage business requests through structured scoping and stakeholder alignment
- A Master’s degree or PhD in a quantitative field (Mathematics, Statistics, Economics, Engineering, or related) is a plus
- Must be located in the San Francisco Bay Area with an in-office requirement of 3x a week
