Senior Data Scientist, Impact Modeling & Analytics - US Program
About The Position
The Senior Data Scientist, Impact Modeling & Analytics, is responsible for building and maintaining impact accounting and analytical modeling capabilities that support data-driven investment decisions across the Data & AI Enablement Hub strategy. The role develops predictive models, effect-size extraction frameworks, and cost-effectiveness estimates to support measurement, learning, evaluation, and scenario analysis at strategy, initiative, and body-of-work levels. The position applies advanced quantitative modeling, causal inference, and research synthesis. It ensures analytical approaches are reproducible, well documented, and designed to surface equitable outcomes for learners served by the Foundation. The role partners with program officers, program strategy teams, measurement and evaluation colleagues, and division leadership to turn quantitative insights into actionable portfolio planning, grant design, strategy learning, and governance decisions. It also identifies gaps in analytical infrastructure and develops capabilities, tools, or data partnerships to strengthen assessment of AI-enabled interventions at scale.
Requirements
- Advanced degree or equivalent demonstrated experience, preferably in economics, statistics, public policy, education research, or a related quantitative field.
- Mastery-level knowledge of quantitative modeling methods relevant to education and social impact, including causal inference, meta-analysis, effect-size estimation, cost-effectiveness analysis, and predictive modeling.
- Significant experience building and maintaining analytical models that inform investment or program strategy decisions in education, social policy, or adjacent fields.
- Demonstrated ability to move from research synthesis to decision-relevant outputs.
- Significant experience serving as a technical resource to program or leadership teams on impact analysis, cost-effectiveness modeling, and decision analytics.
- Ability to translate complex quantitative findings for non-technical audiences.
- Experience developing and applying reproducibility and documentation standards, including practices that enable peer review, assumption auditing, and equity assessment of model outputs.
- Significant experience building collaborative partnerships with program teams, researchers, or institutional partners to co-develop analytical frameworks and integrate modeling insights into planning and governance processes.
- Unrestricted work authorization in the country where the position is located. The Foundation does not provide immigration-related sponsorship or immigration support for this role.
Responsibilities
- Build and maintain impact accounting models, including effect-size extraction frameworks, cost-effectiveness estimates, and scenario analysis tools, to support investment decisions across the portfolio.
- Apply rigorous standards to identify measurable outcomes and track results over time.
- Lead predictive modeling and forward-looking analysis at strategy, initiative, and body-of-work levels to inform impact trajectories and resource allocation.
- Contribute to the Insights Engine for AI Effectiveness by synthesizing research, market intelligence, and pilot data to identify patterns, risks, and opportunities.
- Ensure modeling approaches are reproducible, documented, and equitable, using shared standards that support assumption review, method audits, and assessment of outcomes for historically underserved learner populations.
- Partner with Hub program officers and program strategy teams to apply modeling insights in portfolio planning and grant design.
- Translate quantitative findings and complex model outputs into accessible, actionable guidance for non-technical audiences and leadership.
- Collaborate with measurement, learning, and evaluation colleagues and division leadership to integrate impact accounting outputs into strategy learning and governance processes.
- Adapt analytical methods as data availability, strategic priorities, and field evidence evolve.
- Identify analytical infrastructure gaps and initiate development of modeling capabilities, tools, or data partnerships to improve assessment of AI-enabled interventions at scale.
- Support an inclusive culture through behaviors and actions, and escalate issues promptly to appropriate stakeholders.
Benefits
- Comprehensive medical, dental, and vision coverage with no premiums.
- Generous paid time off.
- Paid family leave.
- Foundation-paid retirement contribution.
- Regional holidays.
- Opportunities to engage in employee communities.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
