Empresa con historial de patrocinio ante el gobierno

REG. 5687067

Senior Survey Research Statistician

Gallup, Inc.

Empleo de Senior Survey Research Statistician en Washington, DC, en la empresa Gallup, Inc.. Empleo real, visto en el anuncio oficial del empleador — el enlace para aplicar y el contacto están en el portal (cuenta gratis).

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Descripción del empleo (original, en inglés)

<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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