Urgent Need Senior Data Scientist – Financial Fraud Analytics

Hope you are doing well. We have an open position for a Senior Data Scientist. Pl. go through the below description and let me know your interest. If you are interested, kindly share a copy of your resume to hr@vinsysinfo.com along with the rate / salary and best time to reach you.

Role: Senior Data Scientist (Need 2 Candidates)

Work Arrangement: Remote/telework, with onsite participation when requested

Client: Federal Government SBA Office of Inspector General

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 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.

Key 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.
  
  

Required Qualifications

• 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).