Data Scientist

KDA Consulting Inc. is seeking a highly skilled Data Scientist with AI/ML expertise to support mission-critical programs within the Intelligence Community (IC). This role will focus on leveraging advanced analytics, machine learning, and artificial intelligence to extract insights from large, complex datasets and support data-driven decision-making. The ideal candidate will have a strong foundation in statistical analysis, machine learning model development, and data visualization, along with the ability to translate complex findings into actionable insights for both technical and non-technical stakeholders. Machine Learning & AI Development - Design, develop, and deploy machine learning models to solve complex mission problems - Build predictive and prescriptive analytics solutions to support operational and strategic decision-making - Evaluate model performance and continuously improve algorithms through testing and tuning Data Analysis & Exploration - Analyze large, structured and unstructured datasets to identify trends, patterns, and anomalies - Perform data cleansing, feature engineering, and transformation to prepare data for modeling - Apply statistical techniques to validate hypotheses and support analytical findings Data Visualization & Communication - Develop dashboards, visualizations, and reports using tools such as Tableau, Power BI, or Python visualization libraries - Communicate insights and recommendations clearly to both technical teams and senior leadership - Translate complex analytical results into actionable business or mission outcomes Model Deployment & Integration - Collaborate with data engineers and software developers to operationalize models into production environments - Integrate machine learning solutions into enterprise systems and workflows - Support cloud-based model deployment in environments such as AWS or Azure Collaboration & Agile Delivery - Work closely with cross-functional teams including engineers, analysts, and mission stakeholders - Participate in Agile processes including sprint planning, stand-ups, and retrospectives - Contribute to continuous improvement of data science methodologies and processes Requirements Active TS/SCI W/ Polygraph Required. Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience) Strong experience in data science, machine learning, and statistical analysis Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn Experience analyzing and working with large-scale datasets Strong understanding of statistical modeling, probability, and data analysis techniques Experience with data visualization tools and communicating insights effectively Strong problem-solving skills and ability to work in complex, mission-driven environments