{"schemaVersion":"jobsearcher.job.v1","id":"1836c1e80aaea5b1d5004a00","url":"https://jobsearcher.com/jobs/1836c1e80aaea5b1d5004a00","canonicalUrl":"https://jobsearcher.com/jobs/1836c1e80aaea5b1d5004a00","title":"Data Scientist - Mid Level","description":"Data Scientist (Onsite | Rockville, MD | Public Trust Required)\n\nThe Data Scientist serves as a key technical contributor responsible for transforming complex data into actionable insights that support mission objectives, operational effectiveness, and strategic decision-making. This position requires an active or attainable Public Trust clearance and is performed onsite in Rockville, Maryland. The selected candidate will work with large-scale structured and unstructured datasets, leveraging advanced analytics, statistical modeling, automation, and visualization techniques to solve complex business and operational challenges within a federal government environment.\n\nKey Responsibilities\nCollect, aggregate, validate, and analyze data from multiple primary and secondary sources to support organizational objectives, operational performance, and strategic initiatives.\nDesign, develop, and maintain data models, analytical frameworks, and reporting solutions that enable data-driven decision-making across the organization.\nIdentify trends, patterns, anomalies, and opportunities within large and complex datasets and translate findings into meaningful business insights and actionable recommendations.\nClean, transform, normalize, and restructure data from disparate systems to improve data quality, consistency, integrity, and usability.\nDevelop automated data collection, processing, and validation solutions to increase efficiency, reduce manual effort, and improve data accuracy.\nBuild and maintain dashboards, scorecards, reports, and interactive visualization tools that effectively communicate analytical findings to technical and non-technical audiences.\nUtilize statistical analysis, machine learning techniques, predictive modeling, and data mining methodologies to address business and operational challenges.\nDevelop and implement processes for monitoring data quality, identifying discrepancies, and ensuring ongoing accuracy and reliability of enterprise data assets.\nManage and maintain databases, data repositories, and information systems supporting the storage, retrieval, maintenance, protection, and recovery of critical organizational data.\nCollaborate with stakeholders, business units, technical teams, and leadership to gather requirements, identify information needs, and formulate analytical approaches that support mission objectives.\nConduct exploratory data analysis to uncover meaningful relationships and support evidence-based recommendations for process improvements and operational enhancements.\nDesign and develop reusable tools, scripts, and analytical solutions to streamline data management, reporting, and business intelligence activities.\nWork with both structured and unstructured datasets originating from enterprise systems, cloud environments, operational databases, APIs, and external data sources.\nSupport enterprise reporting initiatives through the development of automated reporting processes, data pipelines, and visualization platforms.\nEvaluate existing data architectures and recommend improvements to optimize performance, accessibility, scalability, and security.\nPartner with information technology, cybersecurity, and business stakeholders to ensure data governance, compliance, and protection requirements are consistently met.\nPrepare executive-level presentations, briefings, and analytical reports that clearly communicate findings, trends, forecasts, risks, and recommendations.\nSupport continuous improvement initiatives by identifying opportunities to enhance business processes, operational efficiencies, and organizational performance through data analytics.\nRequired Qualifications\nBachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, Engineering, Analytics, or a related field.\nMinimum of 3 to 5 years of experience performing data analysis, data science, business intelligence, or advanced analytics in a government, healthcare, research, or enterprise environment.\nExperience collecting, processing, analyzing, and interpreting large and complex datasets.\nProficiency with statistical analysis, data visualization, and reporting methodologies.\nExperience with programming languages such as Python, R, SQL, or similar analytical tools.\nExperience developing dashboards, reports, and visualizations using platforms such as Power BI, Tableau, Qlik, or equivalent tools.\nStrong understanding of database concepts, data modeling, data management, and data warehousing principles.\nExperience creating automated data collection, transformation, and reporting solutions.\nExcellent analytical, critical thinking, and problem-solving skills.\nStrong written and verbal communication skills with the ability to present technical findings to non-technical audiences.\nAbility to obtain and maintain a Public Trust clearance.\nMust be able to work onsite in Rockville, MD.\nPreferred Qualifications\nMaster's degree in Data Science, Analytics, Statistics, Computer Science, or a related discipline.\nExperience supporting federal government agencies or highly regulated environments.\nKnowledge of machine learning, predictive analytics, artificial intelligence, and advanced statistical modeling techniques.\nExperience working with cloud-based analytics platforms and large-scale data environments.\nFamiliarity with data governance, cybersecurity, privacy, and compliance requirements.\nExperience with ETL development, data integration, and business intelligence architectures.\nProfessional certifications related to data analytics, cloud technologies, business intelligence, or data science.\nCore Competencies\nData Analytics & Visualization\nStatistical Analysis & Modeling\nMachine Learning & Predictive Analytics\nData Quality Management\nBusiness Intelligence\nDatabase Management\nETL & Data Integration\nDashboard Development\nData Governance\nProcess Automation\nProblem Solving & Critical Thinking\nStakeholder Engagement\nExecutive Reporting & Communication\nFederal Data Management & Compliance\n\nThis position is ideal for a highly analytical and innovative data professional who thrives on transforming complex information into actionable intelligence, enabling leadership to make informed decisions and driving measurable improvements across mission-critical operations.","company":"Code Plus","rawCompany":"code plus","city":"Fort Lee","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-09-17T10:51:06.900Z","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":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"921190","title":"Other General Government Support","slug":"other-general-government-support"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist - Mid Level","description":"Data Scientist (Onsite | Rockville, MD | Public Trust Required)\n\nThe Data Scientist serves as a key technical contributor responsible for transforming complex data into actionable insights that support mission objectives, operational effectiveness, and strategic decision-making. This position requires an active or attainable Public Trust clearance and is performed onsite in Rockville, Maryland. The selected candidate will work with large-scale structured and unstructured datasets, leveraging advanced analytics, statistical modeling, automation, and visualization techniques to solve complex business and operational challenges within a federal government environment.\n\nKey Responsibilities\nCollect, aggregate, validate, and analyze data from multiple primary and secondary sources to support organizational objectives, operational performance, and strategic initiatives.\nDesign, develop, and maintain data models, analytical frameworks, and reporting solutions that enable data-driven decision-making across the organization.\nIdentify trends, patterns, anomalies, and opportunities within large and complex datasets and translate findings into meaningful business insights and actionable recommendations.\nClean, transform, normalize, and restructure data from disparate systems to improve data quality, consistency, integrity, and usability.\nDevelop automated data collection, processing, and validation solutions to increase efficiency, reduce manual effort, and improve data accuracy.\nBuild and maintain dashboards, scorecards, reports, and interactive visualization tools that effectively communicate analytical findings to technical and non-technical audiences.\nUtilize statistical analysis, machine learning techniques, predictive modeling, and data mining methodologies to address business and operational challenges.\nDevelop and implement processes for monitoring data quality, identifying discrepancies, and ensuring ongoing accuracy and reliability of enterprise data assets.\nManage and maintain databases, data repositories, and information systems supporting the storage, retrieval, maintenance, protection, and recovery of critical organizational data.\nCollaborate with stakeholders, business units, technical teams, and leadership to gather requirements, identify information needs, and formulate analytical approaches that support mission objectives.\nConduct exploratory data analysis to uncover meaningful relationships and support evidence-based recommendations for process improvements and operational enhancements.\nDesign and develop reusable tools, scripts, and analytical solutions to streamline data management, reporting, and business intelligence activities.\nWork with both structured and unstructured datasets originating from enterprise systems, cloud environments, operational databases, APIs, and external data sources.\nSupport enterprise reporting initiatives through the development of automated reporting processes, data pipelines, and visualization platforms.\nEvaluate existing data architectures and recommend improvements to optimize performance, accessibility, scalability, and security.\nPartner with information technology, cybersecurity, and business stakeholders to ensure data governance, compliance, and protection requirements are consistently met.\nPrepare executive-level presentations, briefings, and analytical reports that clearly communicate findings, trends, forecasts, risks, and recommendations.\nSupport continuous improvement initiatives by identifying opportunities to enhance business processes, operational efficiencies, and organizational performance through data analytics.\nRequired Qualifications\nBachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, Engineering, Analytics, or a related field.\nMinimum of 3 to 5 years of experience performing data analysis, data science, business intelligence, or advanced analytics in a government, healthcare, research, or enterprise environment.\nExperience collecting, processing, analyzing, and interpreting large and complex datasets.\nProficiency with statistical analysis, data visualization, and reporting methodologies.\nExperience with programming languages such as Python, R, SQL, or similar analytical tools.\nExperience developing dashboards, reports, and visualizations using platforms such as Power BI, Tableau, Qlik, or equivalent tools.\nStrong understanding of database concepts, data modeling, data management, and data warehousing principles.\nExperience creating automated data collection, transformation, and reporting solutions.\nExcellent analytical, critical thinking, and problem-solving skills.\nStrong written and verbal communication skills with the ability to present technical findings to non-technical audiences.\nAbility to obtain and maintain a Public Trust clearance.\nMust be able to work onsite in Rockville, MD.\nPreferred Qualifications\nMaster's degree in Data Science, Analytics, Statistics, Computer Science, or a related discipline.\nExperience supporting federal government agencies or highly regulated environments.\nKnowledge of machine learning, predictive analytics, artificial intelligence, and advanced statistical modeling techniques.\nExperience working with cloud-based analytics platforms and large-scale data environments.\nFamiliarity with data governance, cybersecurity, privacy, and compliance requirements.\nExperience with ETL development, data integration, and business intelligence architectures.\nProfessional certifications related to data analytics, cloud technologies, business intelligence, or data science.\nCore Competencies\nData Analytics & Visualization\nStatistical Analysis & Modeling\nMachine Learning & Predictive Analytics\nData Quality Management\nBusiness Intelligence\nDatabase Management\nETL & Data Integration\nDashboard Development\nData Governance\nProcess Automation\nProblem Solving & Critical Thinking\nStakeholder Engagement\nExecutive Reporting & Communication\nFederal Data Management & Compliance\n\nThis position is ideal for a highly analytical and innovative data professional who thrives on transforming complex information into actionable intelligence, enabling leadership to make informed decisions and driving measurable improvements across mission-critical operations.","datePosted":"2026-09-17T10:51:06.900Z","dateModified":"2026-09-17T10:51:06.900Z","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":"1836c1e80aaea5b1d5004a00"},"url":"https://jobsearcher.com/jobs/1836c1e80aaea5b1d5004a00"}}