💼 About the Role

This role is for a senior-level Data Scientist with specialized experience supporting criminal investigations involving financial fraud or misuse of government funds. The position focuses on designing, implementing, and maintaining fraud identification methods, developing advanced analytical models, improving data quality, and communicating technical findings to stakeholders.

The role requires hands-on experience with predictive modeling, artificial intelligence, statistical analysis, natural language processing, cloud platforms, Python, SQL, and large-scale data analysis.

🛠️ What You’ll Do

• Design, implement, and maintain fraud identification methods and communicate analytical results to stakeholders
• Clean and prepare data to ensure validity, completeness, and consistency
• Develop repeatable methods for efficiently analyzing large datasets
• Work closely with criminal investigators to determine analytical strategies for financial fraud and abuse investigations
• Design, implement, and maintain advanced AI systems and predictive models, including supervised and unsupervised models
• Develop analytical rules and models using leading-edge analytical tools and best practices
• Develop regression, classification, Bayesian, clustering, ensemble, and other statistical models to identify anomalies, patterns, and predictive variables
• Implement and tune test models to determine the best fit for specific analytical needs
• Manipulate and analyze data using Python and Pandas
• Conduct advanced data analysis using SQL, including SQL Server and PostgreSQL
• Work with modern cloud environments, including Azure, AWS, or Google Cloud Platform
• Develop and scale natural language processing solutions
• Present analytical methods and findings to technical and non-technical stakeholders through presentations, written materials, and visualizations

✅ Qualifications

• 5+ years designing, implementing, and maintaining advanced AI systems and predictive models (supervised & unsupervised)
• 5+ years developing analytical rules and models using advanced analytical tools and best practices
• 5+ years developing regression, classification, and other statistical models to identify anomalies and patterns
• 3+ years providing data support for criminal investigations involving financial fraud or misuse of government funds
• 3+ years manipulating data in Python, with hands-on Pandas experience required
• 3+ years working in a modern cloud environment (Azure, AWS, or GCP) — cloud certifications preferred
• 2+ years conducting advanced data analysis using SQL, including SQL Server and PostgreSQL
• 2+ years developing and scaling natural language processing solutions
• 2+ years presenting analytical methods and findings to technical and non-technical stakeholders
• Master’s, Ph.D., or doctorate-level equivalent in Data Science, Machine Learning, Computer Science, Mathematics, or related field (10 years applied experience accepted in lieu of degree)
• U.S. Citizenship required; ability to obtain and maintain a Public Trust determination

🏆 Preferred Certifications

• Microsoft Azure Data Scientist Associate (DP-100)
• Microsoft Azure AI Engineer Associate (AI-102)
• AWS Machine Learning Certification
• Google Professional Machine Learning Engineer
• Comparable cloud-based AI or machine learning certifications

💰 Compensation

• Hourly rate: $60.10 – $67.31/hr
• Annual salary range: $125,000 – $140,000/year
• 100% remote — must be a U.S. citizen based in the United States

Compensation figures reflect the range provided in the original job listing and may vary based on experience, clearance status, and final contract terms. Confirm exact details with the employer during the interview process.