{"schemaVersion":"jobsearcher.job.v1","id":"4cc2beb0c33c91225d84c8b8","url":"https://jobsearcher.com/jobs/4cc2beb0c33c91225d84c8b8","canonicalUrl":"https://jobsearcher.com/jobs/4cc2beb0c33c91225d84c8b8","title":"Senior Data Scientist","description":"Job Summary::\nThe Senior Data Scientist – Model Governance & DoD Data Fabrics leads the full lifecycle of advanced analytics and machine learning models in support of a Department of Defense (DoD) customer. In this role, you will own model development, deployment, monitoring, and governance across DoD data fabrics, with a strong emphasis on causal inference, Bayesian methods, model risk management, model cards, and ethical AI practices.\n\nYou will ensure all models and analytics products align with the contract’s Acceptable Quality Levels (AQLs) and Quality Assurance Surveillance Plan (QASP), providing decision-quality insights to senior government stakeholders while maintaining rigorous technical and compliance standards.\n\n*This position is contingent upon contract award*\nJob Duties and Responsibilities: :\nLead the end-to-end lifecycle of machine learning and statistical models, from problem framing and data acquisition through deployment, monitoring, and retirement.\nDesign and implement models using causal inference and Bayesian methods to support high-impact operational and strategic decisions.\nDevelop and maintain model risk management practices, including validation, back-testing, performance thresholds, and issue remediation.\nCreate and maintain model cards and other documentation that clearly describe model purpose, assumptions, limitations, performance, and governance controls.\nEmbed ethical AI principles into model design and usage, including fairness, transparency, explainability, and human-in-the-loop oversight.\nArchitect and scale analytical solutions on DoD data fabrics and cloud environments, collaborating with cloud architects and engineering teams.\nDefine and track model and analytics performance against AQLs and QASP metrics; proactively recommend improvements to meet or exceed targets.\nPartner with security, infrastructure, and operations teams to ensure models comply with cybersecurity, data protection, and configuration management policies.\nProvide technical leadership and mentorship to junior data scientists and analysts, reviewing work products and promoting best practices.\nPrepare and deliver briefings, dashboards, and written reports that distill complex analytics into clear, actionable insights for senior leaders.\nSupport proposal and capture efforts by contributing data science subject matter expertise and solution concepts as needed.\nPerform other duties as assigned to support mission and contract requirements.\nJob Requirements (Education/Skills/Experience)::\nClearance: Active Secret clearance; must be able to obtain and maintain a Top Secret clearance if required by the customer. (U.S. citizenship required due to government contract requirements.)\nExperience: 9–12 years of progressive experience in data science, machine learning, statistics, or a closely related field, including support to DoD or other U.S. government customers.\nEducation:\nMaster’s degree (MS) in Data Science, Computer Science, Statistics, Electrical Engineering, or a closely related discipline (required).\nPhD in one of these fields (preferred).\nDemonstrated hands-on expertise with causal inference and Bayesian methods applied to real-world decision problems.\nProven experience implementing and maintaining model risk management frameworks in production environments.\nExperience generating model cards and other structured documentation for models, including performance metrics and limitations.\nStrong background in ethical AI concepts and techniques, including bias detection/mitigation and responsible AI governance.\nHands-on experience deploying and scaling models on cloud platforms and/or DoD data fabrics (e.g., enterprise data platforms, secure enclaves).\nProficiency in at least one major programming language used for data science (e.g., Python, R) and modern ML tooling (e.g., scikit-learn, PyTorch, TensorFlow, or equivalent).\nStrong communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.\nTravel: Occasional travel may be required to support stakeholder engagements, technical reviews, and on-site integration or testing activities.\nPreferred Qualifications\nRelevant cloud architect or ML specialty certification (e.g., AWS, Azure, or other major cloud provider).\nCompTIA Security+ certification.\nITIL Foundation certification (preferred).\nExperience working with QASP-driven contracts and defining/monitoring AQLs for analytics or IT services.\nFamiliarity with DoD cybersecurity frameworks, RMF, and secure DevSecOps practices.\nPrior experience supporting Air Force, joint, or combatant command–level analytics, or similar high-visibility federal programs.\nDiné Development Corporation (DDC) is a Navajo Nation owned family of companies that delivers IT, professional, and environmental solutions to advance the missions of federal, state, and tribal government agencies. As thought leaders and innovators, our team of specialists build client-centric solutions that solve critical challenges faced by defense, civilian, and healthcare organizations. Employing a mission-focused approach, we deliver value that not only enhances current operations, but also drives future change. Closely aligned with this approach is our commitment to advancing the Navajo Nation and its People. Through economic development and community empowerment, we elevate the Navajo Nation to provide lasting impact and sustainable growth for future generations. DDC’s ability to unite legacy-inspired technologies, industry best practices, and proven methodologies has contributed to our success for twenty years.\n\nThis contractor and subcontractor shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, national origin, or for inquiring about, discussing, or disclosing information about compensation, or any other basis prohibited by law. We participate in E-Verify.","company":"Dine Development","rawCompany":"dine development","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-07-27T12:39:48.441Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"928110","title":"National Security","slug":"national-security"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Scientist","description":"Job Summary::\nThe Senior Data Scientist – Model Governance & DoD Data Fabrics leads the full lifecycle of advanced analytics and machine learning models in support of a Department of Defense (DoD) customer. In this role, you will own model development, deployment, monitoring, and governance across DoD data fabrics, with a strong emphasis on causal inference, Bayesian methods, model risk management, model cards, and ethical AI practices.\n\nYou will ensure all models and analytics products align with the contract’s Acceptable Quality Levels (AQLs) and Quality Assurance Surveillance Plan (QASP), providing decision-quality insights to senior government stakeholders while maintaining rigorous technical and compliance standards.\n\n*This position is contingent upon contract award*\nJob Duties and Responsibilities: :\nLead the end-to-end lifecycle of machine learning and statistical models, from problem framing and data acquisition through deployment, monitoring, and retirement.\nDesign and implement models using causal inference and Bayesian methods to support high-impact operational and strategic decisions.\nDevelop and maintain model risk management practices, including validation, back-testing, performance thresholds, and issue remediation.\nCreate and maintain model cards and other documentation that clearly describe model purpose, assumptions, limitations, performance, and governance controls.\nEmbed ethical AI principles into model design and usage, including fairness, transparency, explainability, and human-in-the-loop oversight.\nArchitect and scale analytical solutions on DoD data fabrics and cloud environments, collaborating with cloud architects and engineering teams.\nDefine and track model and analytics performance against AQLs and QASP metrics; proactively recommend improvements to meet or exceed targets.\nPartner with security, infrastructure, and operations teams to ensure models comply with cybersecurity, data protection, and configuration management policies.\nProvide technical leadership and mentorship to junior data scientists and analysts, reviewing work products and promoting best practices.\nPrepare and deliver briefings, dashboards, and written reports that distill complex analytics into clear, actionable insights for senior leaders.\nSupport proposal and capture efforts by contributing data science subject matter expertise and solution concepts as needed.\nPerform other duties as assigned to support mission and contract requirements.\nJob Requirements (Education/Skills/Experience)::\nClearance: Active Secret clearance; must be able to obtain and maintain a Top Secret clearance if required by the customer. (U.S. citizenship required due to government contract requirements.)\nExperience: 9–12 years of progressive experience in data science, machine learning, statistics, or a closely related field, including support to DoD or other U.S. government customers.\nEducation:\nMaster’s degree (MS) in Data Science, Computer Science, Statistics, Electrical Engineering, or a closely related discipline (required).\nPhD in one of these fields (preferred).\nDemonstrated hands-on expertise with causal inference and Bayesian methods applied to real-world decision problems.\nProven experience implementing and maintaining model risk management frameworks in production environments.\nExperience generating model cards and other structured documentation for models, including performance metrics and limitations.\nStrong background in ethical AI concepts and techniques, including bias detection/mitigation and responsible AI governance.\nHands-on experience deploying and scaling models on cloud platforms and/or DoD data fabrics (e.g., enterprise data platforms, secure enclaves).\nProficiency in at least one major programming language used for data science (e.g., Python, R) and modern ML tooling (e.g., scikit-learn, PyTorch, TensorFlow, or equivalent).\nStrong communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.\nTravel: Occasional travel may be required to support stakeholder engagements, technical reviews, and on-site integration or testing activities.\nPreferred Qualifications\nRelevant cloud architect or ML specialty certification (e.g., AWS, Azure, or other major cloud provider).\nCompTIA Security+ certification.\nITIL Foundation certification (preferred).\nExperience working with QASP-driven contracts and defining/monitoring AQLs for analytics or IT services.\nFamiliarity with DoD cybersecurity frameworks, RMF, and secure DevSecOps practices.\nPrior experience supporting Air Force, joint, or combatant command–level analytics, or similar high-visibility federal programs.\nDiné Development Corporation (DDC) is a Navajo Nation owned family of companies that delivers IT, professional, and environmental solutions to advance the missions of federal, state, and tribal government agencies. As thought leaders and innovators, our team of specialists build client-centric solutions that solve critical challenges faced by defense, civilian, and healthcare organizations. Employing a mission-focused approach, we deliver value that not only enhances current operations, but also drives future change. Closely aligned with this approach is our commitment to advancing the Navajo Nation and its People. Through economic development and community empowerment, we elevate the Navajo Nation to provide lasting impact and sustainable growth for future generations. DDC’s ability to unite legacy-inspired technologies, industry best practices, and proven methodologies has contributed to our success for twenty years.\n\nThis contractor and subcontractor shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, national origin, or for inquiring about, discussing, or disclosing information about compensation, or any other basis prohibited by law. We participate in E-Verify.","datePosted":"2026-07-27T12:39:48.441Z","dateModified":"2026-07-27T12:39:48.441Z","hiringOrganization":{"@type":"Organization","name":"Dine Development","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4cc2beb0c33c91225d84c8b8"},"url":"https://jobsearcher.com/jobs/4cc2beb0c33c91225d84c8b8"}}