Actionable Outcomes

Data Scientist

• Apply statistical analysis, data mining, and machine learning techniques to address operational needs
• Develop, validate, and deploy predictive, descriptive, and diagnostic models in support of program objectives
• Perform exploratory data analysis (EDA) to identify trends, patterns, anomalies, and risk indicators
• Collaborate with data engineering teams to define data requirements, feature engineering approaches, and analytic pipelines
• Ensure analytical methods and outputs are explainable, reproducible, and auditable
• Develop and document model assumptions, methodologies, limitations, and performance metrics
• Support use cases such as forecasting, risk scoring, anomaly detection, classification, and segmentation
• Create visualizations, dashboards, and analytical summaries to communicate findings to stakeholders
• Support validation, testing, and continuous monitoring of models to ensure ongoing performance and compliance
• Produce high-quality documentation, technical memos, and briefings in accordance with federal standards
• Participate in Agile/Hybrid delivery processes, including sprint planning, reviews, and status reporting