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 (TSD). As a Senior Data Scientist, you will design, implement, and maintain advanced fraud identification models, collaborating closely with criminal investigators to develop predictive models and establish repeatable analytical methods.
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
- 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