Note: The job is a remote job and is open to candidates in USA. Praescient Analytics is seeking highly skilled technical professionals to support the SBA OIG Technology Solutions Division. As a Senior Data Scientist, you will design, implement, and maintain advanced fraud identification models while collaborating closely with criminal investigators to develop targeted predictive models and establish analytical methods for massive datasets.

Responsibilities

• Design, test, and deploy supervised and unsupervised machine learning models (regression, Bayesian, clustering, ensemble algorithms) to detect fraud, improper payments, or non-compliance
• Partner directly with criminal investigators to execute strategies supporting active cases, adapt analyses to shifting needs, and adhere to federal rules governing protected information (e.g., Rule 6(e))
• Scale NLP methods to parse, clean, and analyze unstructured text data using OCR, semantic similarity, and Large Language Models (LLMs)
• Perform data cleaning and quality analysis on source tables. Create dashboards and visualizations (via Power BI, Python, etc.) to present methodology and findings to technical and executive leadership
• Maintain thorough records and detailed methodology documentation compliant with criminal evidentiary requirements

Skills

• Master's, Ph.D., or doctorate-level equivalent degree in Data Science, Machine Learning, Computer Science, Mathematics, or a related field; OR 10 years of applied work experience in these fields
• 5+ Years of Hands-on Experience in: Designing, implementing, and maintaining advanced AI systems and predictive models (supervised/unsupervised)
• 5+ Years of Hands-on Experience in: Developing analytic rules and models using leading-edge fraud analytics tools and best practices
• 5+ Years of Hands-on Experience in: Developing regression, classification, and statistical models to identify anomalies, patterns, and predictive variables
• 3+ Years of Hands-on Experience in: Providing data support for criminal investigations into fraud or abuse
• 3+ Years of Hands-on Experience in: Manipulating data in Python utilizing Pandas (required)
• 3+ Years of Hands-on Experience in: Working in modern cloud environments
• 2+ Years of Hands-on Experience in: Advanced SQL data analysis (specifically SQL Server and PostgreSQL)
• 2+ Years of Hands-on Experience in: Developing and scaling NLP solutions
• 2+ Years of Hands-on Experience in: Presenting technical methods and findings orally and via written products/visualizations to diverse stakeholders
• Azure preferred, AWS, or GCP; certifications a plus

Benefits

• Competitive salary based on qualifications and experience
• Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
• 401(k) with company match
• Travel & performance incentives
• 3 weeks paid time off (plus Federal Holidays)
• $5K annual training allowance
• $500 book allowance
• Tuition reimbursement program

Company Overview