Senior Data Scientist, Impact Modeling & Analytics - US Program

The Foundation We are the largest nonprofit fighting poverty, disease, and inequity around the world. Founded on a simple premise: people everywhere, regardless of identity or circumstances, should have the chance to live healthy, productive lives. We believe our employees should reflect the rich diversity of the global populations we aim to serve. We provide an exceptional benefits package to employees and their families which include comprehensive medical, dental, and vision coverage with no premiums, generous paid time off, paid family leave, foundation-paid retirement contribution, regional holidays, and opportunities to engage in several employee communities.

As a workplace, we’re committed to creating an environment for you to thrive both personally and professionally.

The Team The Data & AI Enablement Hub works to unlock the full potential of data and artificial intelligence to improve educational and economic outcomes. Our vision is that by 2045, all learners and the people who support them will be empowered by safe, evidence-based, AI-enabled solutions that deliver personalized experiences and universally recognized skills, so they can navigate pathways, move across institutions, and thrive in meaningful work.

To achieve this, we invest in three catalytic areas: AI solution enablement, trusted evidence for AI in education, and dynamic feedback systems. We amplify this work through investing in focus geographies, driving strategic partnerships with frontier AI labs and co-funders, and partnering with other teams within U.S. Program in using data and AI to drive equitable impact.

Your Role You are responsible for building and maintaining the impact accounting and analytical modeling capabilities that underpin data-driven investment decisions across the strategy. You develop predictive models, effect-size extraction frameworks, and cost-effectiveness estimates that support measurement, learning, and evaluation functions and scenario analysis at the strategy, initiative, and body of work levels. You have mastery-level knowledge of quantitative modeling methods, causal inference, and applied research synthesis, and you ensure that all analytical approaches are reproducible, well-documented, and designed to surface equitable outcomes for the learners the foundation serves.

What You’ll Do Build and maintain core impact accounting models—including effect-size extraction frameworks, cost-effectiveness estimates, and scenario analysis tools—that support investment decision-making across the portfolio, applying rigorous standards to identify specific measurable outcomes and track results over time. Lead predictive modeling and forward-looking analysis at the strategy, initiative, and body of work levels, producing outputs that enable program strategy teams and leadership to assess probable impact trajectories and make evidence-informed resource allocation decisions.

Contribute to the Insights Engine for AI Effectiveness by synthesizing research, market intelligence, and pilot data to surface patterns, risks, and opportunity areas—drawing on innovative thinking to identify signals that inform both near-term portfolio adjustments and longer-term strategic direction. Ensure analytical reproducibility, documentation, and equity across all modeling approaches, building shared standards that allow colleagues to interrogate assumptions, audit methods, and assess whether models adequately account for the experiences of historically underserved learner populations.

Partner with Hub program officers and program strategy teams to apply modeling insights in portfolio planning and grant design, translating quantitative findings into actionable guidance through a collaborative and…