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REF. 5687067

Senior Survey Research Statistician

Gallup, Inc.

Senior Survey Research Statistician opening in Washington, DC at Gallup, Inc.. Real opening, seen on the employer's official posting — the application link and contact live in the portal (free account).

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Job description

<p><strong><span data-contrast="none"><span data-ccp-parastyle="Normal (Web)">Design the statistical foundations&nbsp;</span><span data-ccp-parastyle="Normal (Web)">of</span><span data-ccp-parastyle="Normal (Web)">&nbsp;research that informs national policy and&nbsp;</span><span data-ccp-parastyle="Normal (Web)">earns&nbsp;</span><span data-ccp-parastyle="Normal (Web)">public trust.</span></span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:278}">&nbsp;</span></p> <p><span data-contrast="none"><span data-ccp-parastyle="Normal (Web)">As a senior survey research statistician at Gallup, you will&nbsp;</span><span data-ccp-parastyle="Normal (Web)">serve as a methodological leader and trusted architect of survey research for Gallup’s most demanding U.S. clients</span><span data-ccp-parastyle="Normal (Web)">,&nbsp;</span><span data-ccp-parastyle="Normal (Web)">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&nbsp;</span><span data-ccp-parastyle="Normal (Web)">expertise</span><span data-ccp-parastyle="Normal (Web)">&nbsp;will directly shape the design systems and quality frameworks that deliver on that promise.&nbsp;</span></span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:278}">&nbsp;</span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="Normal (Web)">What&nbsp;</span><span data-ccp-parastyle="Normal (Web)">You’ll</span><span data-ccp-parastyle="Normal (Web)">&nbsp;Do</span></span></strong><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:278}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="none"><span data-ccp-parastyle="Normal (Web)">L</span><span data-ccp-parastyle="Normal (Web)">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</span><span data-ccp-parastyle="Normal (Web)">.</span></span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:278}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="none"><span data-ccp-parastyle="Normal (Web)">A</span><span data-ccp-parastyle="Normal (Web)">pply Bayesian approaches and small area estimation techniques to address sub-national and hard-to-reach population inference challenges</span><span data-ccp-parastyle="Normal (Web)">.</span></span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:278}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="none"><span data-ccp-parastyle="Normal (Web)">Own</span><span data-ccp-parastyle="Normal (Web)">&nbsp;the statistical design process end-to-end: crafting sampling plans in compliance with OMB standards and federal statistical agency norms, developing survey</span><span data-ccp-parastyle="Normal (Web)">-</span><span data-ccp-parastyle="Normal (Web)">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</span><span data-ccp-parastyle="Normal (Web)">.</span></span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:278}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none"><span data-ccp-parastyle="Normal (Web)">M</span><span data-ccp-parastyle="Normal (Web)">entor analysts and junior&nbsp;</span><span data-ccp-parastyle="Normal (Web)">statisticians,</span><span data-ccp-parastyle="Normal (Web)">&nbsp;contribute to Gallup’s internal methodological standards, and play a visible role in quality assurance across research programs</span><span data-ccp-parastyle="Normal (Web)">&nbsp;as a senior member of the team</span><span data-ccp-parastyle="Normal (Web)">.</span></span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:278}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="none"><span data-ccp-parastyle="Normal (Web)">Contribute across Gallup’s&nbsp;</span><span data-ccp-parastyle="Normal (Web)">broad r</span><span data-ccp-parastyle="Normal (Web)">ange</span><span data-ccp-parastyle="Normal (Web)">&nbsp;of&nbsp;</span><span data-ccp-parastyle="Normal (Web)">analytical methods</span><span data-ccp-parastyle="Normal (Web)">,&nbsp;</span><span data-ccp-parastyle="Normal (Web)">from traditional statistical approaches including regression, analysis of variance and generalized linear models to modern machine learning techniques</span><span data-ccp-parastyle="Normal (Web)">.</span></span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:278}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none">Who&nbsp;We&nbsp;Want&nbsp;</span></strong><span data-ccp-props="{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559740&quot;:278}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="auto">Technically skilled and experienced statisticians</span></strong><span data-contrast="auto">&nbsp;with deep&nbsp;expertise&nbsp;in modern survey design — statisticians who command the full spectrum,&nbsp;from sampling theory to Bayesian inference,&nbsp;and&nbsp;can&nbsp;navigate complex, multi-stakeholder research environments</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559740&quot;:278}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><strong><span data-contrast="auto">Strategic problem-solvers</span></strong><span data-contrast="auto">&nbsp;with&nbsp;a track record&nbsp;of peer-reviewed&nbsp;scholarship, federal and large-scale applied research, and a reputation for advancing the rigor of the field</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><strong><span data-contrast="auto">Self-motivated collaborators</span></strong><span data-contrast="auto">&nbsp;who translate sophisticated&nbsp;methodology&nbsp;into accessible language for federal program officers, nonprofit&nbsp;leaders&nbsp;and academic partners, and who produce documentation that withstands scrutiny&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559740&quot;:278}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><strong><span data-contrast="auto">Dedicated achievers</span></strong><span data-contrast="auto">&nbsp;who&nbsp;elevate the work of those around them, build institutional knowledge, and hold themselves and their teams to the highest standards of transparency and integrity </span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559740&quot;:278}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none">What&nbsp;You&nbsp;Need&nbsp;</span></strong><span data-ccp-props="{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559740&quot;:278}">&nbsp;</span></p> <p><em><span data-contrast="none"><span data-ccp-parastyle="Normal (Web)">Required</span></span></em><span data
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