Note: The job is a remote job and is open to candidates in USA. Praescient Analytics is seeking multiple Data Scientists to support advanced fraud analytics and investigative initiatives for a federal oversight organization. The role involves developing and deploying analytical solutions to identify fraud and support decision-making across government-funded initiatives.
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
Skills
- 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
- 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
- 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
Company Overview