Data Scientist - AI/ML & Advanced Analytics (Fraud Analytics & Investigative Support)

Location

Remote (Occasional Travel May Be Required)

Clearance

Ability to obtain and maintain a Public Trust

Position Overview

Praescient Analytics is building a multidisciplinary advanced analytics team supporting federal fraud detection and investigative missions. We are seeking experienced Data Scientists with expertise in one or more advanced analytical disciplines, including artificial intelligence (AI), machine learning (ML), natural language processing (NLP), large language models (LLMs), graph analytics, and relationship discovery.

These positions will help design and implement next-generation analytical capabilities that identify hidden fraud patterns, uncover complex relationships, analyze unstructured information, and transform large, diverse datasets into actionable intelligence for investigators and oversight organizations.

The ideal candidate is a hands-on technical specialist who enjoys applying emerging analytical technologies to solve complex fraud, financial crime, and investigative challenges.

Key Responsibilities

• Design, develop, validate, and optimize advanced analytical models supporting fraud detection and investigative missions.
• Apply machine learning, artificial intelligence, natural language processing, graph analytics, and statistical modeling techniques to identify fraud patterns and emerging risks.
• Analyze structured, semi-structured, and unstructured data from multiple government and commercial sources.
• Develop scalable analytical workflows using cloud-native technologies and open-source data science frameworks.
• Collaborate with Graph Data Scientists, Data Engineers, Investigative Analysts, and Technical Analytics Managers to develop integrated analytical solutions.
• Document analytical methodologies, model performance, validation results, and technical recommendations.
• Support Agile software development through sprint planning, demonstrations, peer reviews, and...