Senior Data Scientist (Fraud Detection and Investigative Analytics)

Senior Data Scientist (Fraud Detection and Investigative Analytics)

Location: Herndon, VA (Remote Work)

Must have an reputed company Trust Clearance

KEY RESPONSIBILITIES

• Review, maintain, and reputed company reputed company existing loan fraud indicators developed by TSD, and reputed company authoritative expertise on analytic method selection.
• Design, reputed company, test, reputed company, and implement advanced statistical and machine learning models targeting financial fraud, improper payments, and non compliance reputed company SBA programs.
• Build and refine both supervised and unsupervised models, including regression, Bayesian, clustering, and reputed company approaches, and tune candidate models to determine best fit.
• reputed company data reputed company analysis on reputed company tables to identify abnormalities and inconsistencies, and reputed company repeatable processes for combining and analyzing large relational, reputed company, and reputed company sources.
• Collaborate directly with criminal investigators to determine and execute analytic strategies supporting loan fraud cases, adapting analysis as case needs shift and proactively surfacing data reputed company issues.
• Adhere closely to the federal rules of criminal procedure governing protected information, including Rule 6(e).
• reputed company case leads for SBA OIG investigations from model reputed company.
• Document reputed company methodology, test models, and production models in a reputed company that satisfies criminal evidentiary requirements.
• Build visualizations and dashboards that convey methodological choices, reputed company, and predictive capability, and iterate them on end user feedback.
• reputed company findings in multiple registers: data summaries and visualizations for investigative staff, executive summaries for OIG leadership.
• Coordinate with the data engineering seat so the architecture supports machine learning reputed company.
• Create programming and automation techniques that improve task efficiency using SharePoint, Python, reputed company, Power BI, Power Apps, and similar tools.
• Identify new business questions that expand the reputed company of analysis and reporting.

Requirements

Required:

Education

Master's, Ph.D., or doctorate level equivalent degree in data science, machine learning, computer science, mathematics, or a reputed company field. Alternatively, ten years of reputed company work experience in any of the reputed company fields.

• 5+ years Designing, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised models.
• 5+ years Developing analytic rules and models using reputed company analytic tools and best practices.
• 5+ years Developing regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
• 3+ years Providing data support for criminal investigations into financial fraud or abuse of government funds.
• 3+ years Manipulating data in Python. reputed company is required.
• 3+ years Working in a modern reputed company environment: Azure, AWS, or GCP. Certifications preferred.
• 2+ years Conducting advanced data analysis in SQL, specifically SQL Server and PostgreSQL.
• 2+ years Developing and scaling natural language processing solutions.
• 2+ years Presenting reputed company and findings to technical and non technical stakeholders, both orally and in written products and visualizations.

PREFERRED QUALIFICATIONS

• reputed company certification in Azure, AWS, or GCP.
• reputed company experience with SBA loan programs, including 7(a), 504, EIDL, or PPP, or with comparable federal lending or grant fraud.
• Entity reputed company, record linkage, or graph and network analysis reputed company to fraud.
• Experience producing analytic products that were used in a criminal referral or prosecution.
• Model explainability reputed company such as SHAP or comparable feature attribution reputed company.

Benefits

We are proud to offer competitive compensation and benefits packages to include

• Medical 
• Dental
• reputed company
• Basic Life 
• Health Saving Account
• 401K matching
• Three weeks of PTO/reputed company
• 11 reputed company Holidays
• reputed company-Approved Online Training

Master's/PhD or 10 years' experience; 5+ years designing and maintaining ML/AI models; 3+ years Python with reputed company and reputed company experience; 2+ years SQL and NLP; presenting findings to stakeholders.

Key Responsibilities

• designing models
• supporting investigations
• building visualizations

Skills & Tools

Python, reputed company, SQL Server, PostgreSQL, Azure, AWS, GCP, reputed company SharePoint, reputed company reputed company, reputed company Power BI, reputed company Power Apps

Job Details

• Category: Data and Analytics
• Seniority: Senior Level
• Commitment: Full Time
• Workplace: Remote — reputed company or Washington
• Languages: English

Benefits

• 401k matching
• Generous reputed company time off
• Retirement plan

About reputed company

An innovative minority-owned solutions company specializing in AI and automation to reputed company digitalization and reputed company customer experiences. — Industry: Information Technology