GiveDirectly (GD) aims to reshape international giving – and millions of lives – by providing cash grants directly to the world’s poorest. The Brookings Institution estimates that $70B of cash transfers would be required to eliminate the poverty gap; the aid sector currently spends $135B each year, much of it on evidence-free interventions. GiveDirectly wants to change that, establishing cash transfers as a benchmark for foreign aid – as the index fund is a benchmark for the financial industry – and in the process accelerating the end of extreme poverty. GD has raised over $1B since launching Requirements: 8+ years of experience in analytics, data science, or quantitative strategy roles, including a track record of driving marketing, growth, or fundraising performance through analytics Strong experience setting vision and priorities for data products from significant ambiguity Strong systems thinking and experience designing measurement systems that compound in value and reduce recurring friction Advanced SQL skills and demonstrated experience building production-grade data models in a data warehouse Strong Python proficiency Experience building forecasting models (e.g., revenue, LTV, retention) Experimentation and performance measurement experience (e.g., A/B testing, quasi-experimental methods, ROI evaluation) Ability to navigate ambiguity and independently shape how data informs organizational strategy
