Senior Data Scientist – Financial Fraud Analytics (2 Openings)

Opportunity Overview

Vinsys Information Technology Inc is urgently seeking two Senior Data Scientists to join a federal government project focused on financial fraud detection and criminal investigation analytics for the SBA Office of Inspector General. This role involves remote work with occasional onsite requirements.

Key Responsibilities

• Design and manage supervised and unsupervised machine learning models including regression, classification, clustering, Bayesian, ensemble, anomaly detection, and predictive analytics.
• Process and analyze a variety of structured and unstructured large datasets while ensuring data quality and consistency.
• Create repeatable data integration, cleaning, and analysis workflows.
• Collaborate extensively with criminal investigators and auditors to detect financial fraud, improper payments, and noncompliance within federal programs.
• Develop, validate, and maintain indicators for potential loan fraud and program noncompliance.
• Implement advanced natural language processing techniques such as OCR, semantic similarity, text classification, and deployment of large language models.
• Conduct data manipulation and analysis primarily using Python (including Pandas) and SQL (SQL Server, PostgreSQL).
• Produce dashboards, visualizations, reports, executive summaries, and detailed documentation consistent with evidentiary standards for criminal investigations.
• Present analytical outcomes and recommendations to both technical teams and nontechnical government stakeholders.
• Work closely with data engineers to ensure cloud architectures (e.g., Azure) effectively support analytics and machine learning workflows.
• Automate data processes using Python, Microsoft Excel, Power BI, Power Apps, SharePoint, and related technologies.
• Uphold strict confidentiality of sensitive government and personal information.

Required Qualifications

• Master's, Ph.D., or equivalent level degree in Data Science, Machine Learning, Computer Science, Mathematics, Statistics, or similar fields; or at least 10 years of professional experience.
• Minimum 5 years of hands-on experience designing and implementing AI systems and predictive modeling.
• At least 5 years developing supervised and unsupervised machine-learning algorithms.
• Experience of 5 years or more in developing regression, classification, anomaly-detection, and predictive models.
• 3 or more years supporting criminal investigations related to financial fraud or government fund misuse.
• Strong Python skills with at least 3 years of data manipulation expertise, especially using Pandas.
• Experience with cloud platforms (Azure, AWS, or GCP) for 3 or more years.
• Advanced SQL proficiency (minimum 2 years) including SQL Server and PostgreSQL.
• At least 2 years of experience developing and deploying NLP solutions.
• Proven ability to communicate complex technical analyses effectively to diverse audiences.
• Excellent writing, speaking, and documentation skills.
• Eligibility to pass a federal public-trust background investigation and possession of a valid Social Security number.

Preferred Qualifications

• Certifications in Azure, AWS, Google Cloud, data science, or machine learning domains.
• Previous experience with federal law enforcement or Inspector General agencies.
• Familiarity with SBA loan programs, financial fraud detection, government benefit programs, or improper payments.
• Skills in deriving investigative leads from the results of analytical models.
• Experience with Power BI, Power Apps, SharePoint, OCR technology, semantic search tools, and large language models.
• Understanding of federal regulations on criminal-investigative information, including Federal Rule of Criminal Procedure 6(e).