Data Scientist (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 seeking multiple Data Scientists to support advanced fraud analytics and investigative initiatives for a federal oversight organization. These positions will develop, test, validate, and deploy innovative analytical solutions that help identify fraud, waste, abuse, and mismanagement across large-scale federal benefit programs and other government-funded initiatives.

Working as part of a multidisciplinary analytics team, Data Scientists will leverage statistical analysis, machine learning, data visualization, entity resolution, and risk modeling techniques to transform large, diverse datasets into actionable intelligence supporting investigators, auditors, and government decision-makers.

The ideal candidate is a technically strong, mission-focused data scientist who enjoys solving complex analytical problems while collaborating with investigators, business analysts, data engineers, forensic accountants, and government stakeholders.

Key Responsibilities

• Develop, test, validate, and maintain fraud detection and program integrity analytics.
• Design analytical rules and methodologies to identify fraud indicators, anomalies, suspicious activity, and emerging risks.
• Perform exploratory data analysis, feature engineering, model development, validation, and performance evaluation.
• Analyze structured and unstructured data from multiple public, non-public, commercial, financial, and government data sources.
• Collaborate with Data Engineers to prepare and optimize data for analytics.
• Support entity resolution, anomaly detection, predictive analytics, and risk scoring initiatives.
• Produce dashboards, reports, visualizations, and analytical products that support investigative decision-making.
• Document analytical methodologies, assumptions, validation resu...