{"schemaVersion":"jobsearcher.job.v1","id":"ae59d11d92bba5db2dbeedf9","url":"https://jobsearcher.com/jobs/ae59d11d92bba5db2dbeedf9","canonicalUrl":"https://jobsearcher.com/jobs/ae59d11d92bba5db2dbeedf9","title":"Data Science - Remote","description":"Are you an experienced data science professional with expertise in LLMs, data analytics, and large-scale analytical pipelines?We’re looking for a Data Science & Analytic Methodology Subject Matter Expert (SME) to help evaluate and improve next-generation AI systems through advanced analytical scenarios, methodology assessments, and high-quality technical feedback.Key ResponsibilitiesEvaluate analytical pipelines and map scenarios to established evaluation frameworks.Develop realistic analytical cases involving automation, data enrichment, and large-scale analysis.Assess LLM responses for reasoning quality, source accuracy, limitations, and practical usefulness.Identify model over-refusals and potential failures affecting analytical workflows.Document complex edge cases and recommend improvements to evaluation methodologies.Provide clear, actionable written and verbal feedback to improve AI performance.Required SkillsData Science and Data AnalyticsLarge Language Models (LLMs)Pipeline IntegrationScaled-Analysis JudgmentAnalytical Reasoning and Problem-SolvingTechnical Documentation and Written CommunicationPreferred QualificationsExperience integrating LLMs into complex data or analytical workflows.Strong understanding of large-scale analysis, automation, and evaluation metrics.Background in data science leadership, teaching, or mentoring.Experience with evaluation frameworks, benchmarks, or analytical methodology.Familiarity with government, defense, intelligence, or public-sector analytics is an advantage.","company":"Tekpillar","rawCompany":"tekpillar","city":"Denver","state":"CO","isRemote":true,"isActive":false,"createdAt":"2026-10-24T09:29:07.147Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"33-3021.06","title":"Intelligence Analysts","slug":"intelligence-analysts"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Science - Remote","description":"Are you an experienced data science professional with expertise in LLMs, data analytics, and large-scale analytical pipelines?We’re looking for a Data Science & Analytic Methodology Subject Matter Expert (SME) to help evaluate and improve next-generation AI systems through advanced analytical scenarios, methodology assessments, and high-quality technical feedback.Key ResponsibilitiesEvaluate analytical pipelines and map scenarios to established evaluation frameworks.Develop realistic analytical cases involving automation, data enrichment, and large-scale analysis.Assess LLM responses for reasoning quality, source accuracy, limitations, and practical usefulness.Identify model over-refusals and potential failures affecting analytical workflows.Document complex edge cases and recommend improvements to evaluation methodologies.Provide clear, actionable written and verbal feedback to improve AI performance.Required SkillsData Science and Data AnalyticsLarge Language Models (LLMs)Pipeline IntegrationScaled-Analysis JudgmentAnalytical Reasoning and Problem-SolvingTechnical Documentation and Written CommunicationPreferred QualificationsExperience integrating LLMs into complex data or analytical workflows.Strong understanding of large-scale analysis, automation, and evaluation metrics.Background in data science leadership, teaching, or mentoring.Experience with evaluation frameworks, benchmarks, or analytical methodology.Familiarity with government, defense, intelligence, or public-sector analytics is an advantage.","datePosted":"2026-10-24T09:29:07.147Z","dateModified":"2026-10-24T09:29:07.147Z","hiringOrganization":{"@type":"Organization","name":"Tekpillar","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ae59d11d92bba5db2dbeedf9"},"url":"https://jobsearcher.com/jobs/ae59d11d92bba5db2dbeedf9"}}