{"schemaVersion":"jobsearcher.job.v1","id":"3e839330dfbed0f766f1e089","url":"https://jobsearcher.com/jobs/3e839330dfbed0f766f1e089","canonicalUrl":"https://jobsearcher.com/jobs/3e839330dfbed0f766f1e089","title":"Data Scientist - SME","description":"Senior Data Scientist / Data Science Subject Matter Expert (SME)\n\nOnsite | Rockville, MD | Public Trust Required\n\nThe Data Science Subject Matter Expert (SME) provides advanced technical leadership and strategic direction for enterprise data analytics, data science, machine learning, and business intelligence initiatives supporting federal government operations. This position requires an active or attainable Public Trust clearance and is performed onsite in Rockville, Maryland. The SME serves as the organization's leading authority on data-driven decision making, advanced analytics methodologies, predictive modeling, data governance, and emerging data technologies. The successful candidate will lead complex analytical efforts, mentor technical teams, and develop innovative solutions that transform large-scale structured and unstructured data into actionable intelligence supporting mission-critical objectives.\n\nKey Responsibilities\nServe as the principal technical authority and trusted advisor for data science, advanced analytics, machine learning, artificial intelligence, and business intelligence initiatives.\nLead the design, development, implementation, and optimization of enterprise-wide data science strategies, analytical frameworks, predictive models, and decision-support solutions.\nAnalyze large, complex datasets from multiple disparate sources to identify trends, patterns, correlations, risks, and opportunities that support strategic and operational decision-making.\nProvide expert guidance on the collection, management, governance, security, and utilization of organizational data assets.\nDevelop advanced statistical models, forecasting methodologies, predictive analytics solutions, and machine learning algorithms to address complex business and mission challenges.\nArchitect and oversee scalable data analytics environments, automated data pipelines, and data processing solutions supporting enterprise reporting and intelligence requirements.\nDesign and implement innovative approaches for analyzing structured, semi-structured, and unstructured data from internal and external sources.\nEstablish and maintain analytical methodologies, standards, best practices, and quality assurance processes to ensure data integrity, consistency, and accuracy.\nLead the development of executive dashboards, visualization platforms, scorecards, reports, and business intelligence solutions that effectively communicate complex findings to senior leadership.\nTranslate highly technical analytical concepts into clear, actionable recommendations for executives, stakeholders, and non-technical audiences.\nCollaborate with business leaders, program managers, technical teams, and government stakeholders to identify data requirements and align analytical efforts with organizational objectives.\nEvaluate emerging technologies, tools, methodologies, and industry best practices to continuously improve organizational data science capabilities.\nLead root-cause analysis, trend analysis, risk assessment, and operational performance studies to improve business processes and mission outcomes.\nDevelop and implement automated solutions for data collection, transformation, validation, quality monitoring, and reporting.\nEnsure compliance with federal policies, cybersecurity requirements, privacy regulations, data governance standards, and organizational procedures.\nSupport strategic planning efforts by providing analytical insights, predictive forecasts, and evidence-based recommendations.\nConduct peer reviews of analytical models, methodologies, and technical deliverables to ensure accuracy, reliability, and adherence to industry best practices.\nPresent analytical findings, research results, and strategic recommendations to executive leadership, program stakeholders, and government officials.\nServe as a mentor and technical leader for junior and mid-level data scientists, analysts, and business intelligence professionals.\nLead cross-functional teams in the successful execution of complex data initiatives from concept through implementation and operational sustainment.\nRequired Qualifications\nBachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Analytics, Information Systems, or a related field.\nMinimum of 10+ years of experience in data science, advanced analytics, business intelligence, statistical modeling, or related technical disciplines.\nDemonstrated expertise in developing and implementing machine learning models, predictive analytics solutions, and advanced statistical methodologies.\nExtensive experience working with large-scale structured and unstructured datasets in complex enterprise environments.\nAdvanced proficiency with Python, R, SQL, and other data science programming languages and analytical tools.\nExtensive experience with data visualization and business intelligence platforms such as Power BI, Tableau, Qlik, or similar technologies.\nStrong understanding of data architecture, data warehousing, ETL processes, data governance, and enterprise data management principles.\nExperience leading complex analytical projects and advising executive leadership on data-driven strategies.\nAbility to communicate highly technical concepts to both technical and non-technical stakeholders.\nStrong problem-solving, strategic thinking, and leadership capabilities.\nAbility to obtain and maintain a Public Trust clearance.\nMust be able to work onsite in Rockville, MD.\nPreferred Qualifications\nMaster's degree or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, Artificial Intelligence, Machine Learning, or a related discipline.\nExperience supporting federal government agencies, healthcare organizations, research institutions, or other highly regulated environments.\nExperience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.\nExpertise in Artificial Intelligence (AI), Natural Language Processing (NLP), Deep Learning, and advanced machine learning frameworks.\nKnowledge of federal data governance standards, cybersecurity frameworks, and regulatory compliance requirements.\nProfessional certifications in Data Science, Cloud Technologies, Analytics, Artificial Intelligence, Machine Learning, or Business Intelligence.\nCore Competencies\nData Science Leadership\nMachine Learning & Artificial Intelligence\nAdvanced Statistical Analysis\nPredictive Modeling & Forecasting\nEnterprise Data Strategy\nData Governance & Quality Management\nBusiness Intelligence & Data Visualization\nBig Data Analytics\nData Architecture & Engineering\nResearch & Innovation\nExecutive Advisory Services\nStrategic Planning & Decision Support\nTechnical Leadership & Mentorship\nFederal Compliance & Risk Management\nPosition Summary\n\nThis role is ideal for a highly accomplished Data Science professional who can serve as the organization's recognized expert for advanced analytics and data-driven innovation. The Senior Data Scientist / SME will provide strategic leadership, technical expertise, and analytical vision to help drive mission success, operational efficiency, and informed decision-making across the enterprise.","company":"Code Plus","rawCompany":"code plus","city":"Fort Lee","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-09-17T10:51:06.899Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"921190","title":"Other General Government Support","slug":"other-general-government-support"},{"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 - SME","description":"Senior Data Scientist / Data Science Subject Matter Expert (SME)\n\nOnsite | Rockville, MD | Public Trust Required\n\nThe Data Science Subject Matter Expert (SME) provides advanced technical leadership and strategic direction for enterprise data analytics, data science, machine learning, and business intelligence initiatives supporting federal government operations. This position requires an active or attainable Public Trust clearance and is performed onsite in Rockville, Maryland. The SME serves as the organization's leading authority on data-driven decision making, advanced analytics methodologies, predictive modeling, data governance, and emerging data technologies. The successful candidate will lead complex analytical efforts, mentor technical teams, and develop innovative solutions that transform large-scale structured and unstructured data into actionable intelligence supporting mission-critical objectives.\n\nKey Responsibilities\nServe as the principal technical authority and trusted advisor for data science, advanced analytics, machine learning, artificial intelligence, and business intelligence initiatives.\nLead the design, development, implementation, and optimization of enterprise-wide data science strategies, analytical frameworks, predictive models, and decision-support solutions.\nAnalyze large, complex datasets from multiple disparate sources to identify trends, patterns, correlations, risks, and opportunities that support strategic and operational decision-making.\nProvide expert guidance on the collection, management, governance, security, and utilization of organizational data assets.\nDevelop advanced statistical models, forecasting methodologies, predictive analytics solutions, and machine learning algorithms to address complex business and mission challenges.\nArchitect and oversee scalable data analytics environments, automated data pipelines, and data processing solutions supporting enterprise reporting and intelligence requirements.\nDesign and implement innovative approaches for analyzing structured, semi-structured, and unstructured data from internal and external sources.\nEstablish and maintain analytical methodologies, standards, best practices, and quality assurance processes to ensure data integrity, consistency, and accuracy.\nLead the development of executive dashboards, visualization platforms, scorecards, reports, and business intelligence solutions that effectively communicate complex findings to senior leadership.\nTranslate highly technical analytical concepts into clear, actionable recommendations for executives, stakeholders, and non-technical audiences.\nCollaborate with business leaders, program managers, technical teams, and government stakeholders to identify data requirements and align analytical efforts with organizational objectives.\nEvaluate emerging technologies, tools, methodologies, and industry best practices to continuously improve organizational data science capabilities.\nLead root-cause analysis, trend analysis, risk assessment, and operational performance studies to improve business processes and mission outcomes.\nDevelop and implement automated solutions for data collection, transformation, validation, quality monitoring, and reporting.\nEnsure compliance with federal policies, cybersecurity requirements, privacy regulations, data governance standards, and organizational procedures.\nSupport strategic planning efforts by providing analytical insights, predictive forecasts, and evidence-based recommendations.\nConduct peer reviews of analytical models, methodologies, and technical deliverables to ensure accuracy, reliability, and adherence to industry best practices.\nPresent analytical findings, research results, and strategic recommendations to executive leadership, program stakeholders, and government officials.\nServe as a mentor and technical leader for junior and mid-level data scientists, analysts, and business intelligence professionals.\nLead cross-functional teams in the successful execution of complex data initiatives from concept through implementation and operational sustainment.\nRequired Qualifications\nBachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Analytics, Information Systems, or a related field.\nMinimum of 10+ years of experience in data science, advanced analytics, business intelligence, statistical modeling, or related technical disciplines.\nDemonstrated expertise in developing and implementing machine learning models, predictive analytics solutions, and advanced statistical methodologies.\nExtensive experience working with large-scale structured and unstructured datasets in complex enterprise environments.\nAdvanced proficiency with Python, R, SQL, and other data science programming languages and analytical tools.\nExtensive experience with data visualization and business intelligence platforms such as Power BI, Tableau, Qlik, or similar technologies.\nStrong understanding of data architecture, data warehousing, ETL processes, data governance, and enterprise data management principles.\nExperience leading complex analytical projects and advising executive leadership on data-driven strategies.\nAbility to communicate highly technical concepts to both technical and non-technical stakeholders.\nStrong problem-solving, strategic thinking, and leadership capabilities.\nAbility to obtain and maintain a Public Trust clearance.\nMust be able to work onsite in Rockville, MD.\nPreferred Qualifications\nMaster's degree or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, Artificial Intelligence, Machine Learning, or a related discipline.\nExperience supporting federal government agencies, healthcare organizations, research institutions, or other highly regulated environments.\nExperience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.\nExpertise in Artificial Intelligence (AI), Natural Language Processing (NLP), Deep Learning, and advanced machine learning frameworks.\nKnowledge of federal data governance standards, cybersecurity frameworks, and regulatory compliance requirements.\nProfessional certifications in Data Science, Cloud Technologies, Analytics, Artificial Intelligence, Machine Learning, or Business Intelligence.\nCore Competencies\nData Science Leadership\nMachine Learning & Artificial Intelligence\nAdvanced Statistical Analysis\nPredictive Modeling & Forecasting\nEnterprise Data Strategy\nData Governance & Quality Management\nBusiness Intelligence & Data Visualization\nBig Data Analytics\nData Architecture & Engineering\nResearch & Innovation\nExecutive Advisory Services\nStrategic Planning & Decision Support\nTechnical Leadership & Mentorship\nFederal Compliance & Risk Management\nPosition Summary\n\nThis role is ideal for a highly accomplished Data Science professional who can serve as the organization's recognized expert for advanced analytics and data-driven innovation. The Senior Data Scientist / SME will provide strategic leadership, technical expertise, and analytical vision to help drive mission success, operational efficiency, and informed decision-making across the enterprise.","datePosted":"2026-09-17T10:51:06.899Z","dateModified":"2026-09-17T10:51:06.899Z","hiringOrganization":{"@type":"Organization","name":"Code Plus","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fort Lee","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3e839330dfbed0f766f1e089"},"url":"https://jobsearcher.com/jobs/3e839330dfbed0f766f1e089"}}