Gallup
Senior Survey Research Statistician
Washington, D.C · Senior
Sponsorship not specifiedDetected 36 days ago
Research
About the role
- Design the statistical foundations of research that informs national policy and earns public trust.
- As a senior survey research statistician at Gallup, you will serve as a methodological leader and trusted architect of survey research for Gallup's most demanding U.S. clients, including federal government agencies, large national nonprofits, and leading academic and research institutions. These engagements require the highest standards of rigor,
Responsibilities
- L ead the design and execution of complex survey research programs, including probability-based and address-based sampling, push-to-web and multimode data collection strategies, probability panel operations (both cross-sectional and longitudinal), and advanced weighting and calibration methodologies for probability and nonprobability samples.
- Technically skilled and experienced statisticians with deep expertise in modern survey design - statisticians who command the full spectrum, from sampling theory to Bayesian inference, and can navigate complex, multi-stakeholder research environments
- Self-motivated collaborators who translate sophisticated methodology into accessible language for federal program officers, nonprofit leaders and academic partners, and who produce documentation that withstands scrutiny
- Dedicated achievers who elevate the work of those around them, build institutional knowledge, and hold themselves and their teams to the highest standards of transparency and integrity
Requirements
- Strategic problem-solvers with a track record of peer-reviewed scholarship, federal and large-scale applied research, and a reputation for advancing the rigor of the field
- At least 12 years of applied survey research or quantitative research experience, including experience with federal and/or state government survey programs
Benefits
- Contribute across Gallup's broad r ange of analytical methods, from traditional statistical approaches including regression, analysis of variance and generalized linear models to modern machine learning techniques.
This listing is sourced directly from Gallup's careers page and normalized into a canonical job model.