Data Scientist (Fraud Analytics & Investigative Support) with Security Clearance

About the role

The role involves developing, testing, validating, and deploying innovative analytical solutions to identify fraud, waste, abuse, and mismanagement across various federal benefit programs and other government-funded initiatives. Data Scientists work as part of a multidisciplinary analytics team, leveraging statistical analysis, machine learning, data visualization, entity resolution, and risk modeling techniques.

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.

Requirements

• 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

• Experience in fraud detection, fraud prevention, financial crime analytics, or program integrity.
• Experience with federal benefit programs, grants, loans, healthcare, unemployment insurance, emergency assistance, disaster relief, or other public-sector programs.
• Experience with risk modeling, anomaly detection, entity resolution, predictive analytics, and statistical modeling.
• Experience with cloud analytics environments such as Azure Databricks, Microsoft SQL Server, Microsoft Fabric, Azure Data Lake Storage (ADLS), Power BI, Git repositories, or Lakehouse architectures.
• Experience working with public, non-public, commercial, financial, or cross-agency datasets.
• Experience with data visualization and dashboard development.
• Experience with Agile software development and analytics teams.
• Experience with 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.

Pay

• Data Scientist: $141,609 per year
• Data Scientist: $173,446 per year

Schedule

• Remote (Occasional Travel May Be Required)