{"schemaVersion":"jobsearcher.job.v1","id":"0d169cc7039c8fefcd4c3d7e","url":"https://jobsearcher.com/jobs/0d169cc7039c8fefcd4c3d7e","canonicalUrl":"https://jobsearcher.com/jobs/0d169cc7039c8fefcd4c3d7e","title":"Data Scientist / Machine Learning Engineer","description":"Everforth ECS is seeking a Data Scientist/Machine Learning Engineer to join our team in Arlington, VA (Hybrid). This position is contingent upon award.\n\nWe are seeking a talented Data Scientist / Machine Learning Engineer to design, develop, deploy, and optimize advanced analytics and machine learning solutions that drive business insights and operational efficiencies. This role combines data science, machine learning engineering, and software development to transform complex data into scalable, production-ready AI and predictive analytics solutions.\n\nThe ideal candidate will possess expertise in statistical analysis, machine learning algorithms, AI/ML-assisted clustering, feature engineering, model deployment, anomaly detection, and cloud-based AI platforms while collaborating closely with business stakeholders, data engineers, and technology teams.\n\nKey Responsibilities\n\nData Science & Advanced Analytics\n\nAnalyze structured and unstructured data to identify trends, patterns, and actionable insights.\nDevelop predictive, prescriptive, and classification models to support business objectives.\nPerform exploratory data analysis (EDA), feature engineering, and statistical modeling.\nDesign experiments and evaluate model performance using appropriate statistical methodologies.\nPresent findings and recommendations to technical and non-technical stakeholders.\nSupport efforts in anomaly detection.\n\nMachine Learning Development\n\nDesign, build, train, and optimize machine learning and deep learning models.\nDevelop solutions for forecasting, anomaly detection, natural language processing (NLP), recommendation systems, and computer vision applications.\nEvaluate and select appropriate algorithms based on business requirements and performance objectives.\nContinuously improve model accuracy, scalability, and maintainability.\n\nMLOps & Production Engineering\n\nDeploy machine learning models into production environments.\nBuild automated model training, validation, deployment, and monitoring pipelines.\nImplement CI/CD practices for machine learning workflows.\nSupport AI/ML-assisted clustering efforts.\nMonitor model performance and address model drift, data drift, and operational issues.\nMaintain model governance, versioning, and documentation standards.\n\nData Engineering & Platform Integration\n\nCollaborate with data engineers to develop scalable data pipelines and feature stores.\nIntegrate machine learning solutions into enterprise applications and business processes.\nOptimize data processing workflows for large-scale datasets.\nEnsure data quality, security, and compliance standards are maintained.\n\nCloud & AI Platforms\n\nDevelop and deploy solutions using cloud-native AI and machine learning services.\nLeverage platforms such as Azure Machine Learning, AWS SageMaker, Databricks, Vertex AI, or equivalent technologies.\nPerform multi-source summarization with human-review workflow by combining AI-driven aggregation of diverse sources with targeted human validation.\nUtilize distributed computing frameworks to support large-scale analytics workloads.\nSupport enterprise AI strategy and modernization initiatives.\n\nCollaboration & Innovation\n\nPartner with business leaders to identify opportunities for AI and advanced analytics solutions.\nTranslate business requirements into machine learning use cases and technical requirements.\nStay current on emerging technologies, AI trends, and industry best practices.\nContribute to innovation initiatives, proofs of concept, and research activities.\n\nSalary Range: $160,000 - $185,000\n\nGeneral Description of Benefits\n\nRequirements:\nTop Secret Clearance\nBachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.\n5+ years of experience in Data Science, Machine Learning Engineering, Artificial Intelligence, or Advanced Analytics.\nStrong understanding of machine learning algorithms, statistical analysis, and data modeling techniques.\nExperience building and deploying machine learning models in production environments.\nProficiency in Python and machine learning libraries/frameworks.\nStrong knowledge of SQL and data manipulation techniques.\nExperience working with large datasets and cloud-based data platforms.\nExcellent problem-solving, analytical, and communication skills.\n\nReq Benefits:\nBenefits - Everforth ECS","company":"Everforth Ecs","rawCompany":"everforth ecs","city":"Arlington","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-09-06T14:00:23.462Z","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":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"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"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist / Machine Learning Engineer","description":"Everforth ECS is seeking a Data Scientist/Machine Learning Engineer to join our team in Arlington, VA (Hybrid). This position is contingent upon award.\n\nWe are seeking a talented Data Scientist / Machine Learning Engineer to design, develop, deploy, and optimize advanced analytics and machine learning solutions that drive business insights and operational efficiencies. This role combines data science, machine learning engineering, and software development to transform complex data into scalable, production-ready AI and predictive analytics solutions.\n\nThe ideal candidate will possess expertise in statistical analysis, machine learning algorithms, AI/ML-assisted clustering, feature engineering, model deployment, anomaly detection, and cloud-based AI platforms while collaborating closely with business stakeholders, data engineers, and technology teams.\n\nKey Responsibilities\n\nData Science & Advanced Analytics\n\nAnalyze structured and unstructured data to identify trends, patterns, and actionable insights.\nDevelop predictive, prescriptive, and classification models to support business objectives.\nPerform exploratory data analysis (EDA), feature engineering, and statistical modeling.\nDesign experiments and evaluate model performance using appropriate statistical methodologies.\nPresent findings and recommendations to technical and non-technical stakeholders.\nSupport efforts in anomaly detection.\n\nMachine Learning Development\n\nDesign, build, train, and optimize machine learning and deep learning models.\nDevelop solutions for forecasting, anomaly detection, natural language processing (NLP), recommendation systems, and computer vision applications.\nEvaluate and select appropriate algorithms based on business requirements and performance objectives.\nContinuously improve model accuracy, scalability, and maintainability.\n\nMLOps & Production Engineering\n\nDeploy machine learning models into production environments.\nBuild automated model training, validation, deployment, and monitoring pipelines.\nImplement CI/CD practices for machine learning workflows.\nSupport AI/ML-assisted clustering efforts.\nMonitor model performance and address model drift, data drift, and operational issues.\nMaintain model governance, versioning, and documentation standards.\n\nData Engineering & Platform Integration\n\nCollaborate with data engineers to develop scalable data pipelines and feature stores.\nIntegrate machine learning solutions into enterprise applications and business processes.\nOptimize data processing workflows for large-scale datasets.\nEnsure data quality, security, and compliance standards are maintained.\n\nCloud & AI Platforms\n\nDevelop and deploy solutions using cloud-native AI and machine learning services.\nLeverage platforms such as Azure Machine Learning, AWS SageMaker, Databricks, Vertex AI, or equivalent technologies.\nPerform multi-source summarization with human-review workflow by combining AI-driven aggregation of diverse sources with targeted human validation.\nUtilize distributed computing frameworks to support large-scale analytics workloads.\nSupport enterprise AI strategy and modernization initiatives.\n\nCollaboration & Innovation\n\nPartner with business leaders to identify opportunities for AI and advanced analytics solutions.\nTranslate business requirements into machine learning use cases and technical requirements.\nStay current on emerging technologies, AI trends, and industry best practices.\nContribute to innovation initiatives, proofs of concept, and research activities.\n\nSalary Range: $160,000 - $185,000\n\nGeneral Description of Benefits\n\nRequirements:\nTop Secret Clearance\nBachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.\n5+ years of experience in Data Science, Machine Learning Engineering, Artificial Intelligence, or Advanced Analytics.\nStrong understanding of machine learning algorithms, statistical analysis, and data modeling techniques.\nExperience building and deploying machine learning models in production environments.\nProficiency in Python and machine learning libraries/frameworks.\nStrong knowledge of SQL and data manipulation techniques.\nExperience working with large datasets and cloud-based data platforms.\nExcellent problem-solving, analytical, and communication skills.\n\nReq Benefits:\nBenefits - Everforth ECS","datePosted":"2026-09-06T14:00:23.462Z","dateModified":"2026-09-06T14:00:23.462Z","hiringOrganization":{"@type":"Organization","name":"Everforth Ecs","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Arlington","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0d169cc7039c8fefcd4c3d7e"},"url":"https://jobsearcher.com/jobs/0d169cc7039c8fefcd4c3d7e"}}