{"schemaVersion":"jobsearcher.job.v1","id":"f4f744c3ef79fd47bfbdc9ca","url":"https://jobsearcher.com/jobs/f4f744c3ef79fd47bfbdc9ca","canonicalUrl":"https://jobsearcher.com/jobs/f4f744c3ef79fd47bfbdc9ca","title":"Senior Computational Scientist","description":"Everforth ECS is seeking a Senior Computational Scientist to work in our Springfield, VA customer site and Fairfax, VA corporate site.\n\nEverforth ECS is seeking a highly skilled and visionary Senior Computational Scientist lead the development, scaling, and deployment of advanced mathematical, statistical, and computational models. In this role, you will bridge the gap between complex theoretical science, Artificial Intelligence/Machine Learning (AI/ML), and high-performance computing (HPC) engineering. You will design robust algorithms, optimize high-performance codes, and lead cross-functional research initiatives that directly support our critical national security and defense mission datasets.\n\nAs a Senior Computational Scientist, you will leverage statistical and AI/ML algorithms to deliver advanced analytics, including predictive analysis and modeling, pattern-of-life analysis, and remote sensing change detection. You will manage the entire computational algorithm development lifecycle from design and training to deployment and maintenance while ensuring performance, observability, and security. This role contributes to building scalable infrastructure, integration layers, real‑time dashboards, and automated pipelines that enable secure, compliant, and efficient AI operations aligned with mission and business goals.\n\nKey responsibilities include:\n\nDesign, implement, and validate complex computational models and simulations\nApply advanced machine learning, deep learning, and statistical physics methodologies to large-scale, structured and unstructured datasets\nOptimize, parallelize, and scale scientific software across hybrid GPU/CPU cluster architectures\nLead end-to-end data science initiatives, encompassing the design, training, and production deployment of AI/ML algorithms\nPartner with domain experts (aerospace, cybersecurity, intelligence) to translate mission needs into computational requirements\nWrite white papers, proposals, and technical documentation. When possible, publish in peer-reviewed journals\nMentor junior computational scientists, engineers, and data analysts on scientific software best practices\n\nSalary Range: $180,000-250,000\n\nGeneral Description of Benefits\n\nRequirements:\nMust be a US Citizen\nActive Top Secret / Sensitive Compartmented Information Clearance with CI Poly eligibility\nPh.D. or Master's degree in Computational Science, Applied Physics, or Electrical Engineering\n5 to 8+ years of post-Ph.D. experience leading computational science initiatives preferably within defense, national laboratories, or advanced aerospace/computing industries\nMastery of high-performance scientific programming languages (e.g., Python, C++, Java, Matlab, etc.)\nProven ability to conduct advanced data analysis and apply data science methodologies for predictive modeling, pattern of life analysis, and change detection analysis\nExtensive hands-on experience developing in Linux/Unix environments (Bash/Csh/Awk/Perl), using modern CI/CD software pipelines (such as GitLab), and containerization (Docker/Kubernetes)\nStrong expertise in AWS cloud services (compute, storage, networking, IAM)\nDeep technical expertise in parallel programming models (e.g., CUDA, cuDNN)\nStrong foundation in AI/ML algorithms and ability to implement agentic workflow with MCP and prompt engineering\nExperience in large language model (LLM) applications\nExceptional ability to synthesize highly abstract mathematical concepts into actionable, BLUF-style executive briefings for non-technical stakeholders\nStrong understanding of model evaluation metrics (e.g., precision, recall, AUC) and statistical drift detection methods.\nExperience with time-series databases, spatial databases, Resource Description Framework (RDF) databases, and relational databases\nStrong communication skills with the ability to interface and collaborate with project managers, stakeholders, vendors, and technical staff\n\nReq Benefits:\nBenefits - Everforth ECS","company":"Everforth Ecs","rawCompany":"everforth ecs","city":"Springfield","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-10-24T12:26:53.427Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Computational Scientist","description":"Everforth ECS is seeking a Senior Computational Scientist to work in our Springfield, VA customer site and Fairfax, VA corporate site.\n\nEverforth ECS is seeking a highly skilled and visionary Senior Computational Scientist lead the development, scaling, and deployment of advanced mathematical, statistical, and computational models. In this role, you will bridge the gap between complex theoretical science, Artificial Intelligence/Machine Learning (AI/ML), and high-performance computing (HPC) engineering. You will design robust algorithms, optimize high-performance codes, and lead cross-functional research initiatives that directly support our critical national security and defense mission datasets.\n\nAs a Senior Computational Scientist, you will leverage statistical and AI/ML algorithms to deliver advanced analytics, including predictive analysis and modeling, pattern-of-life analysis, and remote sensing change detection. You will manage the entire computational algorithm development lifecycle from design and training to deployment and maintenance while ensuring performance, observability, and security. This role contributes to building scalable infrastructure, integration layers, real‑time dashboards, and automated pipelines that enable secure, compliant, and efficient AI operations aligned with mission and business goals.\n\nKey responsibilities include:\n\nDesign, implement, and validate complex computational models and simulations\nApply advanced machine learning, deep learning, and statistical physics methodologies to large-scale, structured and unstructured datasets\nOptimize, parallelize, and scale scientific software across hybrid GPU/CPU cluster architectures\nLead end-to-end data science initiatives, encompassing the design, training, and production deployment of AI/ML algorithms\nPartner with domain experts (aerospace, cybersecurity, intelligence) to translate mission needs into computational requirements\nWrite white papers, proposals, and technical documentation. When possible, publish in peer-reviewed journals\nMentor junior computational scientists, engineers, and data analysts on scientific software best practices\n\nSalary Range: $180,000-250,000\n\nGeneral Description of Benefits\n\nRequirements:\nMust be a US Citizen\nActive Top Secret / Sensitive Compartmented Information Clearance with CI Poly eligibility\nPh.D. or Master's degree in Computational Science, Applied Physics, or Electrical Engineering\n5 to 8+ years of post-Ph.D. experience leading computational science initiatives preferably within defense, national laboratories, or advanced aerospace/computing industries\nMastery of high-performance scientific programming languages (e.g., Python, C++, Java, Matlab, etc.)\nProven ability to conduct advanced data analysis and apply data science methodologies for predictive modeling, pattern of life analysis, and change detection analysis\nExtensive hands-on experience developing in Linux/Unix environments (Bash/Csh/Awk/Perl), using modern CI/CD software pipelines (such as GitLab), and containerization (Docker/Kubernetes)\nStrong expertise in AWS cloud services (compute, storage, networking, IAM)\nDeep technical expertise in parallel programming models (e.g., CUDA, cuDNN)\nStrong foundation in AI/ML algorithms and ability to implement agentic workflow with MCP and prompt engineering\nExperience in large language model (LLM) applications\nExceptional ability to synthesize highly abstract mathematical concepts into actionable, BLUF-style executive briefings for non-technical stakeholders\nStrong understanding of model evaluation metrics (e.g., precision, recall, AUC) and statistical drift detection methods.\nExperience with time-series databases, spatial databases, Resource Description Framework (RDF) databases, and relational databases\nStrong communication skills with the ability to interface and collaborate with project managers, stakeholders, vendors, and technical staff\n\nReq Benefits:\nBenefits - Everforth ECS","datePosted":"2026-10-24T12:26:53.427Z","dateModified":"2026-10-24T12:26:53.427Z","hiringOrganization":{"@type":"Organization","name":"Everforth Ecs","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Springfield","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f4f744c3ef79fd47bfbdc9ca"},"url":"https://jobsearcher.com/jobs/f4f744c3ef79fd47bfbdc9ca"}}