Data Scientist (Fraud Analytics & Investigative Support)

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.

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 results, and technical findings.
• Participate in Agile delivery activities including sprint planning, demonstrations, peer reviews, and iterative model development.

Required Qualifications

• Must have experience with Fraud Analysis
• Three (3) or more years of professional experience in data science, applied analytics, machine learning, statistics, fraud analytics, or a related quantitative field.
• Strong programming experience using Python and SQL.
• Experience developing and validating analytical models.
• Experience analyzing structured and unstructured datasets.
• Experience documenting analytical methodologies and technical findings.
• Strong analytical reasoning and problem-solving skills.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Preference will be given to candidates with experience in one or more of the following:
• Fraud detection, fraud prevention, financial crime analytics, or program integrity.
• Federal benefit programs, grants, loans, healthcare, unemployment insurance, emergency assistance, disaster relief, or other public-sector programs.
• Risk modeling, anomaly detection, entity resolution, predictive analytics, and statistical modeling.
• Cloud analytics environments such as Azure Databricks, Microsoft SQL Server, Microsoft Fabric, Azure Data Lake Storage (ADLS), Power BI, Git repositories, or Lakehouse architectures.
• Working with public, non-public, commercial, financial, or cross-agency datasets.
• Data visualization and dashboard development.
• Agile software development and analytics teams.
• Enterprise data governance, metadata management, and data quality best practices.

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