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 develops, validates, and deploys analytical solutions using statistical analysis, machine learning, data visualization, entity resolution, and risk modeling to identify fraud, waste, abuse, and mismanagement and support investigators, auditors, and government decision-makers.
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
- **US Citizenship Required**
- 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
- Real opportunity for career growth in an environment where your achievements will be celebrated
- Constant collaboration with numerous teams to ensure client success
- A team that respects and embraces your ideas and expertise
- A workplace dedicated to supporting and bettering public safety and government agencies
- 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