Senior Data Scientist - Fraud Analytics

Salary: $70,000 - 110,000 per year Requirements:

• We require a masters, Ph.D., or equivalent doctoral-level degree in data science, machine learning, computer science, mathematics, or a related discipline; alternatively, we accept ten years of applied experience in one of these fields.
• We need at least 5 years of experience designing, implementing, and sustaining advanced AI systems and predictive models, including supervised and unsupervised approaches.
• We need at least 5 years of experience developing analytic rules and models using modern tools and established best practices.
• We need at least 5 years of experience building regression, classification, and other statistical models to detect anomalies, patterns, and predictive variables.
• We need at least 3 years of experience supporting criminal investigations involving financial fraud or misuse of government funds.
• We need at least 3 years of experience working with Python for data manipulation, with Pandas required.
• We need at least 3 years of experience operating in a cloud environment such as Azure, AWS, or Google Cloud Platform; cloud certifications are preferred.
• We need at least 2 years of advanced data analysis experience in SQL, specifically SQL Server and PostgreSQL.
• We need at least 2 years of experience developing and scaling natural language processing solutions.
• We need at least 2 years of experience presenting methods and findings to both technical and non-technical audiences through oral presentations, written deliverables, and visualizations.
• We require Public Trust clearance.
• Preferred qualifications include cloud certification in Azure, AWS, or Google Cloud Platform.
• Preferred experience includes direct exposure to SBA loan programs such as 7(a), 504, EIDL, or PPP, or comparable federal lending or grant fraud.
• Preferred experience includes entity resolution, record linkage, or graph and network analysis applied to fraud.
• Preferred experience includes creating analytical products used in a criminal referral or prosecution.
• Preferred experience includes model explainability techniques such as SHAP or similar attribution methods.

• We review, maintain, and expand existing loan fraud indicators and provide expert guidance on analytic method selection.
• We design, develop, test, calibrate, and deploy advanced statistical and machine learning models focused on financial fraud, improper payments, and noncompliance within SBA programs.
• We build and refine supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble methods, and tune candidate models to identify the best fit.
• We assess data quality in source tables, identify anomalies and inconsistencies, and create repeatable workflows for combining and analyzing large relational, structured, and unstructured datasets.
• We work closely with criminal investigators to shape and execute analytic strategies for loan fraud cases, adjusting our analysis as case requirements change and proactively flagging data quality issues.
• We follow federal criminal procedure rules governing protected information, including Rule 6(e).
• We generate case leads for SBA OIG investigations based on model outputs.
• We document methodology, test models, and production models in a manner that meets criminal evidentiary standards.
• We build visualizations and dashboards that communicate methodological decisions, results, and predictive performance, and refine them based on user feedback.
• We deliver insights in multiple formats, including data summaries and visualizations for investigative teams and executive summaries for OIG leadership.
• We coordinate with data engineering to ensure the architecture supports machine learning efficiently.
• We create programming and automation solutions that improve efficiency using SharePoint, Python, Excel, Power BI, Power Apps, and similar tools.
• We identify new business questions that broaden the scope of analysis and reporting.

• AI
• AWS
• Azure
• Cloud
• Excel
• Machine Learning
• Network
• PostgreSQL
• Power BI
• Python
• SQL
• SharePoint
• pandas
• Support

More:

We are hiring a Senior Data Scientist for our Fraud Detection and Investigative Analytics team in Herndon, VA, with remote work available. This role supports SBA-related fraud detection and investigative analytics in a mission-driven federal environment, working closely with criminal investigators and OIG leadership. We offer competitive compensation and benefits, including medical, dental, vision, basic life coverage, a health savings account, 401(k) matching, three weeks of PTO/sick leave, 11 paid holidays, and pre-approved online training.

last updated 33 week of 2026