Data Scientist (Onsite | Rockville, MD | Public Trust Required) The 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. Key Responsibilities Collect, aggregate, validate, and analyze data from multiple primary and secondary sources to support organizational objectives, operational performance, and strategic initiatives. Design, develop, and maintain data models, analytical frameworks, and reporting solutions that enable data-driven decision-making across the organization. Identify trends, patterns, anomalies, and opportunities within large and complex datasets and translate findings into meaningful business insights and actionable recommendations. Clean, transform, normalize, and restructure data from disparate systems to improve data quality, consistency, integrity, and usability. Develop automated data collection, processing, and validation solutions to increase efficiency, reduce manual effort, and improve data accuracy. Build and maintain dashboards, scorecards, reports, and interactive visualization tools that effectively communicate analytical findings to technical and non-technical audiences. Utilize statistical analysis, machine learning techniques, predictive modeling, and data mining methodologies to address business and operational challenges. Develop and implement processes for monitoring data quality, identifying discrepancies, and ensuring ongoing accuracy and reliability of enterprise data assets. Manage and maintain databases, data repositories, and information systems supporting the storage, retrieval, maintenance, protection, and recovery of critical organizational data. Collaborate with stakeholders, business units, technical teams, and leadership to gather requirements, identify information needs, and formulate analytical approaches that support mission objectives. Conduct exploratory data analysis to uncover meaningful relationships and support evidence-based recommendations for process improvements and operational enhancements. Design and develop reusable tools, scripts, and analytical solutions to streamline data management, reporting, and business intelligence activities. Work with both structured and unstructured datasets originating from enterprise systems, cloud environments, operational databases, APIs, and external data sources. Support enterprise reporting initiatives through the development of automated reporting processes, data pipelines, and visualization platforms. Evaluate existing data architectures and recommend improvements to optimize performance, accessibility, scalability, and security. Partner with information technology, cybersecurity, and business stakeholders to ensure data governance, compliance, and protection requirements are consistently met. Prepare executive-level presentations, briefings, and analytical reports that clearly communicate findings, trends, forecasts, risks, and recommendations. Support continuous improvement initiatives by identifying opportunities to enhance business processes, operational efficiencies, and organizational performance through data analytics. Required Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, Engineering, Analytics, or a related field. Minimum 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. Experience collecting, processing, analyzing, and interpreting large and complex datasets. Proficiency with statistical analysis, data visualization, and reporting methodologies. Experience with programming languages such as Python, R, SQL, or similar analytical tools. Experience developing dashboards, reports, and visualizations using platforms such as Power BI, Tableau, Qlik, or equivalent tools. Strong understanding of database concepts, data modeling, data management, and data warehousing principles. Experience creating automated data collection, transformation, and reporting solutions. Excellent analytical, critical thinking, and problem-solving skills. Strong written and verbal communication skills with the ability to present technical findings to non-technical audiences. Ability to obtain and maintain a Public Trust clearance. Must be able to work onsite in Rockville, MD. Preferred Qualifications Master's degree in Data Science, Analytics, Statistics, Computer Science, or a related discipline. Experience supporting federal government agencies or highly regulated environments. Knowledge of machine learning, predictive analytics, artificial intelligence, and advanced statistical modeling techniques. Experience working with cloud-based analytics platforms and large-scale data environments. Familiarity with data governance, cybersecurity, privacy, and compliance requirements. Experience with ETL development, data integration, and business intelligence architectures. Professional certifications related to data analytics, cloud technologies, business intelligence, or data science. Core Competencies Data Analytics & Visualization Statistical Analysis & Modeling Machine Learning & Predictive Analytics Data Quality Management Business Intelligence Database Management ETL & Data Integration Dashboard Development Data Governance Process Automation Problem Solving & Critical Thinking Stakeholder Engagement Executive Reporting & Communication Federal Data Management & Compliance This 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.