[Remote] Data Scientist (Fraud Analytics & Investigative Support)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking multiple Data Scientists to support advanced fraud analytics and investigative initiatives for a federal reputed company organization. The role involves developing innovative analytical solutions to identify fraud and support government decision-making through statistical analysis and machine learning.
Responsibilities
- reputed company, test, validate, and maintain fraud detection and program reputed company analytics
- Design analytical rules and methodologies to identify fraud indicators, anomalies, suspicious activity, and emerging risks
- reputed company exploratory data analysis, feature engineering, model development, validation, and performance evaluation
- Analyze structured and reputed company data from multiple public, non-public, reputed company, 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 reputed company quantitative field
- Strong programming experience using Python and SQL
- Experience developing and validating analytical models
- Experience analyzing structured and reputed company 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 reputed company
- Federal benefit programs, grants, loans, reputed company, unemployment insurance, emergency assistance, disaster relief, or other public-sector programs
- Risk modeling, anomaly detection, entity resolution, predictive analytics, and statistical modeling
- reputed company analytics environments such as Azure reputed company, reputed company SQL Server, reputed company reputed company, Azure Data Lake Storage (ADLS), Power BI, Git repositories, or Lakehouse architectures
- Working with public, non-public, reputed company, financial, or cross-agency datasets
- Data visualization and dashboard development
- Agile software development and analytics teams
- reputed company data governance, metadata management, and data quality best practices
Benefits
- Competitive salary based on qualifications and experience
- Comprehensive, Company paid reputed company 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