Senior Data Scientist, Impact Modeling & Analytics - US Program
Core
Build and maintain impact accounting and analytical modeling capabilities to support data-driven investment decisions and measure the effectiveness of AI-enabled educational interventions.
Role type
Senior IC data scientist (impact modeling & analytics)
Builds
Predictive models, effect-size extraction frameworks, cost-effectiveness estimates, and scenario analysis tools for education and social impact strategy.
Domain
Nonprofit / Social Impact / Education / Economics
Deliverable
production ML models
Required skills
causal inference, meta-analysis, effect-size estimation, cost-effectiveness analysis, predictive modeling, quantitative modeling methods, reproducible analytics, research synthesis
Preferred skills
experience with AI solution enablement, dynamic feedback systems, inclusive culture modeling
Technologies
Python, R, SQL, statistical software (implied by quantitative modeling context)
Responsibilities
Build core impact accounting models and scenario analysis tools; Lead predictive modeling and forward-looking analysis for strategy teams; Synthesize research and pilot data to inform portfolio adjustments; Ensure analytical reproducibility and equity in modeling approaches; Partner with program officers to translate quantitative findings into actionable guidance; Integrate impact accounting outputs into strategy learning and governance processes.
Seniority
Senior, hands-on IC
