Senior Data Scientist

Senior Data Scientist

01 Jul 2026
District of Columbia, Washington, 20001 Washington USA

Senior Data Scientist

Position: Senior Data ScientistLocation: RemoteClient: Office of the Inspector General (OIG)Candidates Required: 2Work Authorization: US Citizen Responsibilities: Assist TSD with data analytic products by providing highly skilled and authoritative expertise on analytic methods. Perform data quality analysis on source tables to identify any abnormalities or inconsistencies.  Review, maintain, and provide support using all existing fraud indicators developed by TSD. Develop and refine repeatable processes for efficiently combining and analyzing large data sources (including relational tables, structured and unstructured datasets).Collaborate closely with criminal investigators to determine and execute strategies to support cases; proactively address and communicate potential data quality issues and adapt analysis to shifting case needs; adhere closely to federal rules of criminal procedure governing protected information (e.g., Rule 6(e)). Design, develop, and implement advanced statistical and machine learning models targeted at identifying fraud, improper payments, or non-compliance within SBA programs.Utilize indicators of potential fraud, improper payments, or non-compliance to develop and test predictive models. Assist in developing case leads for SBA OIG investigations based on model outcomes. Coordinate with the Data Engineering Team to ensure system architecture is designed to efficiently support machine learning models.Integrate and scale natural language processing methods to parse, clean, and analyze large corpora of unstructured or semi-structured text data, utilizing OCR, semantic similarity algorithms, and large language models as needed.Provide detailed documentation of all methodology, test models, and production models; maintain records in compliance with criminal evidentiary requirementsDevelop visualizations and dashboards to demonstrate methodological choices, outcomes, and predictive capabilities of machine learning models; iteratively solicit and integrate end-user feedbackProvide outcomes and recommendations in multiple formats, including data summaries and visualizations for investigative staff, and executive summaries for SBA OIG leadership.1Create programming and automation techniques to improve task efficiency using tools such as SharePoint, Python, Microsoft Excel, Power BI, and others.Identify new business questions to expand the scope of analysis and reporting.

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