Job Opportunities API

Senior Data Scientist (Fraud Detection and Investigative Analytics) Location: Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES Review, maintain, and extend all existing loan fraud indicators developed by TSD, and provide authoritative expertise on analytic method selection. Design, develop, test, calibrate, and implement advanced statistical and machine learning models targeting financial fraud, improper payments, and non compliance within SBA programs. Build and refine both supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches, and tune candidate models to determine best fit. Perform data quality analysis on source tables to identify abnormalities and inconsistencies, and develop repeatable processes for combining and analyzing large relational, structured, and unstructured sources. Collaborate directly with criminal investigators to determine and execute analytic strategies supporting loan fraud cases, adapting analysis as case needs shift and proactively surfacing data quality issues. Adhere closely to the federal rules of criminal procedure governing protected information, including Rule 6(e). Develop case leads for SBA OIG investigations from model outcomes. Document all methodology, test models, and production models in a form that satisfies criminal evidentiary requirements. Build visualizations and dashboards that convey methodological choices, outcomes, and predictive capability, and iterate them on end user feedback. Deliver findings in multiple registers: data summaries and visualizations for investigative staff, executive summaries for OIG leadership. Coordinate with the data engineering seat so the architecture supports machine learning efficiently. Create programming and automation techniques that improve task efficiency using SharePoint, Python, Excel, Power BI, Power Apps, and similar tools. Identify new business questions that expand the scope of analysis and reporting.