Data Scientist

Join our team at Core One! Our mission is to be at the forefront of devising analytical, operational and technical solutions to our Nation's most complex national security challenges. In order to achieve our mission, Core One values people first! We are committed to recruiting, nurturing, and retaining top talent! We offer a competitive total compensation package that sets us apart from our competition. Core One is a team-oriented, dynamic, and growing company that values exceptional performance! *This position requires a TS/SCI Clearance.* *This position is contingent on award* *This position may require up to six months of deployment annually* Responsibilities: Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis across large and complex datasets to support intelligence and mission requirements. Collect, retrieve, integrate, and transform data from disparate sources to identify relationships, trends, patterns, and insights that support informed analytical and operational decision-making. Apply scientific, statistical, and computational techniques to correlate and interpret data and produce graphical, written, visual, and verbal analytical products. Design, develop, test, and implement machine learning (ML) models, artificial intelligence (AI) tools, and automated analytical processes to improve data processing, analysis, and mission workflows. Develop ML-enabled applications and processes, including recommendation engines, automated lead-scoring systems, classification models, predictive models, and other automated decision-support capabilities. Develop, train, evaluate, and optimize statistical and machine learning models to produce accurate, scalable, and reliable predictive analytics. Apply data mining techniques and statistical methodologies to identify trends, correlations, anomalies, and predictive indicators within large and complex datasets. Integrate and merge structured and unstructured data from multiple and disparate sources using R, Python, SQL, and other appropriate data engineering and analytical tools. Develop and maintain data pipelines, analytical workflows, and automated processes to support the collection, transformation, analysis, and visualization of large datasets. Conduct large-scale Multi-INT data analytics by integrating and analyzing data from multiple intelligence disciplines, sources, and formats to identify relationships, patterns, and actionable insights. Apply machine learning and automated predictive analytics techniques to large datasets to support intelligence production, forecasting, pattern recognition, and identification of emerging trends. Develop data visualizations, dashboards, charts, and graphical products using tools such as Microsoft Power BI and Tableau to communicate complex analytical findings to technical and non-technical audiences. Develop and maintain analytical code, scripts, models,…