Senior Data Scientist - Impact Modeling & AI for Education

The Bill & Melinda Gates Foundation; Seattle (WA); On-site; USD 190,000 - 295,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Generous paid time off

Paid family leave

Foundation-paid retirement contributed

Regional holidays

Employee communities

Job summary

The Bill & Melinda Gates Foundation’s Data & AI Enablement Hub in Seattle, WA seeks a senior data scientist to advance evidence-informed investments through impact accounting, causal modeling, and equity-focused analysis.

You will build reproducible analytical frameworks, translate complex outputs for non-technical audiences, and collaborate with program teams to integrate insights into portfolio planning and grants design, all onsite in Seattle.

Qualifications

• Advanced degree or equivalent demonstrated experience in a quantitative field.
• Mastery of quantitative modeling methods including causal inference, meta-analysis, effect-size estimation, cost-effectiveness analysis, and predictive modeling.
• Significant experience building analytical models informing investment or strategy decisions in education or social policy.
• Experience serving as a technical resource translating quantitative findings for non-technical audiences.
• Experience creating reproducibility and documentation standards with equity assessment.
• Experience collaborating with program teams and partners to co-develop analytical frameworks.

Responsibilities

• Build and maintain core impact accounting models, including effect-size extraction frameworks, cost-effectiveness estimates, and scenario analysis tools.
• Lead predictive modeling and forward-looking analyses at strategy, initiative, and work levels.
• Contribute to the Insights Engine for AI Effectiveness by synthesizing research and pilot data.
• Ensure reproducibility, documentation, and equity across modeling approaches.
• Partner with Hub program officers to apply modeling insights in portfolio planning and grant design.
• Translate complex model outputs for non-technical program audiences and leadership.
• Collaborate with measurement and evaluation teams to integrate outputs into governance.

Skills

Causal inference

Meta-analysis

Effect-size estimation

Cost-effectiveness analysis

Predictive modeling

Analytical modeling

Education

Advanced degree in economics, statistics, public policy, education research, or related quantitative field

Job description

The Bill & Melinda Gates Foundation’s Data & AI Enablement Hub in Seattle, WA seeks a senior data scientist to advance evidence-informed investments through impact accounting, causal modeling, and equity-focused analysis.

You will build reproducible analytical frameworks, translate complex outputs for non-technical audiences, and collaborate with program teams to integrate insights into portfolio planning and grants design, all onsite in Seattle.