Urgent Need Senior Data Scientist – Financial Fraud Analytics

Vinsys Information Technology Inc. is seeking two Senior Data Scientists to support advanced data analytics, financial fraud detection, criminal investigations, and machine-learning initiatives for a federal government client, the SBA Office of Inspector General. Work arrangement is remote/telework, with onsite participation when requested.

About the Role

The Senior Data Scientists will design, develop, test, calibrate, and maintain advanced statistical, artificial intelligence, machine-learning, and natural-language-processing solutions. The selected candidates will work closely with criminal investigators, auditors, data engineers, and government stakeholders to identify potential financial fraud, improper payments, and noncompliance within federal programs.

Responsibilities

• Design, implement, and maintain supervised and unsupervised machine-learning models.
• Develop regression, classification, clustering, Bayesian, ensemble, anomaly-detection, and predictive models.
• Analyze large relational, structured, semi-structured, and unstructured datasets.
• Conduct data-quality assessments and identify inconsistencies, abnormalities, and incomplete records.
• Develop repeatable processes for combining, cleaning, and analyzing large datasets.
• Support criminal investigations involving financial fraud, improper payments, and misuse of government funds.
• Collaborate with investigators to develop analytical strategies and investigative leads.
• Develop, test, and maintain indicators of potential loan fraud and noncompliance.
• Implement natural-language-processing solutions using OCR, semantic similarity, text classification, and large language models.
• Manipulate and analyze data using Python, including Pandas.
• Conduct advanced analysis using SQL Server and PostgreSQL.
• Develop dashboards, visualizations, executive summaries, investigative reports, and technical documentation.
• Present analytical methods, findings, risks, and recommendations to technical and nontechnical stakeholders.
• Maintain methodology, model, and analytical documentation consistent with criminal evidentiary requirements.
• Coordinate with data engineers to ensure the Azure architecture supports analytics and machine-learning workloads.
• Develop automation using Python, Microsoft Excel, SharePoint, Power BI, Power Apps, and related tools.
• Protect sensitive government, investigative, and personally identifiable information.

Requirements

• Master's degree, Ph.D., or equivalent doctorate-level degree in Data Science, Machine Learning, Computer Science, Mathematics, Statistics, or a related discipline; or
• At least 10 years of applied professional experience in one or more of these fields.
• At least five years of hands-on experience designing, implementing, and maintaining advanced AI systems and predictive models.
• At least five years of experience developing supervised and unsupervised machine-learning models.
• At least five years of experience developing analytical rules, regression models, classification models, anomaly-detection methods, and predictive variables.
• At least three years of experience supporting criminal investigations involving financial fraud or misuse of government funds.
• At least three years of Python data manipulation experience.
• Strong hands-on experience with Pandas.
• At least three years of experience working in Azure, AWS, or Google Cloud Platform.
• At least two years of advanced SQL experience, including SQL Server and PostgreSQL.
• At least two years of experience developing and scaling NLP solutions.
• At least two years of experience presenting technical methods and findings to technical and nontechnical stakeholders.
• Strong written, verbal, documentation, and data-visualization skills.
• Ability to successfully complete a federal public-trust background investigation.
• Valid Social Security number.

Preferred Qualifications

• Azure, AWS, Google Cloud, data science, or machine-learning certifications.
• Experience with federal law-enforcement or Inspector General organizations.
• Experience with SBA loan programs, financial fraud, improper payments, or government-benefit programs.
• Experience developing investigative leads from model outputs.
• Experience using Power BI, Power Apps, SharePoint, OCR technologies, semantic search, and large language models.
• Knowledge of federal rules governing protected criminal-investigative information, including Federal Rule of Criminal Procedure 6(e).