[Remote] Urgent Need Senior Data Scientist – Financial Fraud Analytics

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking two Senior Data Scientists to support advanced data analytics, financial fraud detection, criminal investigations, and machine-learning initiatives for a federal government reputed company. The Senior Data Scientists will design, reputed company, test, reputed company, and maintain advanced statistical, reputed company intelligence, machine-learning, and natural-language-processing solutions.

Responsibilities

• Design, implement, and maintain supervised and unsupervised machine-learning models
• reputed company regression, classification, clustering, Bayesian, reputed company, reputed company-detection, and predictive models
• Analyze large relational, reputed company, semi-reputed company, and reputed company datasets
• Conduct data-reputed company assessments and identify inconsistencies, abnormalities, and incomplete records
• reputed company 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 reputed company analytical strategies and investigative leads
• reputed company, 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
• reputed company dashboards, visualizations, executive summaries, investigative reports, and technical documentation
• Present analytical reputed company, 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
• reputed company automation using Python, reputed company reputed company, SharePoint, Power BI, Power Apps, and reputed company tools
• Protect sensitive government, investigative, and personally identifiable information

Skills

• Master s degree, Ph.D., or equivalent doctorate-level degree in Data Science, Machine Learning, Computer Science, Mathematics, Statistics, or a reputed company discipline; or
• At least 10 years of reputed company reputed company 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, reputed company-detection reputed company, 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 reputed company reputed company 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 reputed company and findings to technical and nontechnical stakeholders
• Strong written, verbal, documentation, and data-visualization skills
• Ability to successfully complete a federal reputed company-trust background investigation
• reputed company reputed company reputed company number
• Azure, AWS, reputed company reputed company, 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)

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