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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, transparency and credibility, and your  expertise  will directly shape the design systems and quality frameworks that deliver on that promise.    What  You’ll  Do   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 .   A pply Bayesian approaches and small area estimation techniques to address sub-national and hard-to-reach population inference challenges .   Own  the statistical design process end-to-end: crafting sampling plans in compliance with OMB standards and federal statistical agency norms, developing survey - specific variance estimation and imputation of missing data methods, implementing data confidentiality/disclosure procedures, producing audit-ready technical documentation, and communicating methods and findings with authority to both technical and non-technical stakeholders .   M entor analysts and junior  statisticians,  contribute to Gallup’s internal methodological standards, and play a visible role in quality assurance across research programs  as a senior member of the team .   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 .   Who We Want    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   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   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    What You Need    Required   Ph.D. in statistics, survey  methodology ,  biostatistics  or a closely related quantitative field   At least 12 years of applied survey research or quantitative research experience, including experience with federal and/or state government survey programs   Expert-level  proficiency  in R and / or Python   Knowledge of AAPOR standards on calculation and interpretation of survey response rates   Knowledge of imputation of missing data techniques ,  including multiple  imputation     Experience design