Senior Data Scientist (Public Trust)
Praescient Analytics
Location
🇺🇸 Fairfax, United States
Type
full_time
Salary
Undisclosed
Posted
1w ago
Job Description
Location: Remote (Occasional Travel May Be Required) Clearance: U.S. Citizenship Required; Public Trust Praescient Analytics is seeking highly skilled technical professionals to support the SBA OIG Technology Solutions Division (TSD). TSD utilizes massive volumes of data from federal, public, and private sectors to conduct critical audits and criminal investigations aimed at protecting the nation's economy and identifying fraud, waste, and abuse. Selected candidates will provide expert technical support within an advanced Azure cloud environment to design fraud identification methods, optimize data architecture, and generate actionable insights for law enforcement and executive leadership. Position
Overview
As a Senior Data Scientist, you will design, implement, and maintain advanced fraud identification models and communicate analytical results to critical stakeholders. You will collaborate closely with criminal investigators to develop targeted predictive models, integrate natural language processing (NLP) into workflows, and establish repeatable analytical methods for massive datasets.
Key Responsibilities
- Model Development: Design, test, and deploy supervised and unsupervised machine learning models (regression, Bayesian, clustering, ensemble algorithms) to detect fraud, improper payments, or non-compliance.
- Investigative Collaboration: 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)).
- Text & NLP Analytics: Scale NLP methods to parse, clean, and analyze unstructured text data using OCR, semantic similarity, and Large Language Models (LLMs).
- Data Quality & Visualization: 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.