The Data & AI Enablement Hub at the Bill & Melinda Gates Foundation works to unlock the full potential of data and artificial intelligence to improve educational and economic outcomes. This role focuses on building impact accounting and analytical modeling capabilities that help teams make evidence-informed investment decisions, with an emphasis on equity-focused, reproducible analysis.
In this Senior Data Scientist position based in Seattle, WA (onsite), you will support strategy and portfolio planning by delivering predictive modeling, effect-size extraction frameworks, cost-effectiveness estimates, and scenario analysis tools. You will also help shape shared modeling standards so colleagues can audit assumptions, interrogate methods, and assess whether models reflect the experiences of historically underserved learner populations.
Responsibilities
- Build and maintain core impact accounting models, including effect-size extraction frameworks, cost-effectiveness estimates, and scenario analysis tools that support investment decisions across the portfolio and track results over time.
- Lead predictive modeling and forward-looking analysis at the strategy, initiative, and body of work levels, enabling program strategy teams and leadership to assess probable impact trajectories and allocate resources with evidence.
- Contribute to the Insights Engine for AI Effectiveness by synthesizing research, market intelligence, and pilot data to surface patterns, risks, and opportunity areas.
- Ensure analytical reproducibility, documentation, and equity across modeling approaches by establishing shared standards for peer review, assumption auditing, and equity assessment of model outputs.
- 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.
- Translate complex model outputs into clear implications for non-technical program audiences and leadership.
- Collaborate with measurement, learning, and evaluation colleagues and division leadership to integrate impact accounting outputs into strategy learning and governance processes, adapting methods as data availability and priorities evolve.
- Identify gaps in analytical infrastructure and initiate development of new modeling capabilities, tools, or data partnerships to strengthen assessment capacity for AI-enabled interventions at scale.
- Support an inclusive culture through modeling behaviors and actions, including timely escalation of issues to the appropriate stakeholders.
Requirements
- Advanced degree or equivalent demonstrated experience, preferably in economics, statistics, public policy, education research, or a related quantitative field.
- Mastery of quantitative modeling methods relevant to education and social impact contexts, 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, with demonstrated ability to convert research synthesis into decision-ready outputs.
- Significant experience serving as a technical resource to program or leadership teams on impact analysis, cost-effectiveness modeling, and decision analytics, including translating quantitative findings for non-technical audiences.
- Significant experience creating and applying reproducibility and documentation standards, enabling peer review, assumption auditing, and equity assessment.
- 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.
- Unrestricted work authorization in the country where this position is located.
- The Foundation does not provide immigration-related sponsorship for this role, including direct company sponsorship and any work authorization requiring written submission or other immigration support from the company.
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 several employee communities
Salary Range
USD 190,100 - 294,700 per year. The Foundation recognizes wage market differences in Seattle and Washington D.C.; the range for these locations is $209,100 to $324,100 USD. New hires salaries are typically between the range minimum and the midpoint, depending on job-related skills, experience, and expertise as evaluated during the interview process.
Hiring Requirements & Candidate Accommodations
- Employment is contingent upon successful completion of a background check.
- If you have a disability or medical condition and need an accommodation at any stage of the application or interview process, contact HR@gatesfoundation.org with the position number and a brief description of your accommodation needs. Requests are handled confidentially.
Inclusion Statement
The Foundation is dedicated to the belief that all lives have equal value and strives for a global and cultural workplace that supports ever greater diversity, equity, and inclusion. All applicants and employees enjoy equality of opportunity and fair treatment without regard to race, color, age, religion, pregnancy, sex, sexual orientation, disability, gender identity, gender expression, national origin, genetic information, veteran status, marital status, and prior protected activity.
The vision 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. The team invests in three catalytic areas: AI solution enablement, trusted evidence for AI in education, and dynamic feedback systems.
