About the Role: We are seeking a highly analytical and detail-oriented Data Scientist with experience in Risk and Fraud analytics to join a growing team with a state government agency. This is a hybrid contract role based in Atlanta, GA. This role will focus on developing and deploying machine learning models, statistical methods, and data-driven strategies to detect risky behaviors and prevent fraudulent activities. You will analyze large, complex datasets, develop predictive models, and derive actionable insights that drive key business decisions. Please note: This is a hybrid work position. The selected candidate must be available to report onsite as directed by the client. Essential Responsibilities: Collect, clean, and analyze large, complex datasets from multiple sources. Develop predictive models and machine learning algorithms to support decision-making. Translate business problems into data-driven solutions with measurable impact. Develop and deploy machine learning models to detect, predict, and prevent fraudulent transactions and behavior patterns. Collaborate with fraud operations, engineering, and compliance teams to implement real-time fraud detection solutions. Design and monitor KPIs to evaluate model performance and improve fraud detection systems. Conduct deep-dive investigations into fraud cases, creating detailed reports and actionable insights. Required Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field. Strong understanding of supervised and unsupervised fraud detection techniques, including anomaly detection, behavioral modeling, and network analysis. Strong analytical skills and the ability to identify patterns and trends from data. Preferred Qualifications: Familiarity with graph analytics or network-based fraud detection tools. Knowledge of regulatory frameworks and compliance issues related to fraud and financial crime. Job Types: Full-time, Contract Pay: $80.00 per hour Expected hours: 40 per week Benefits: Health insurance Compensation Package: Weekly pay Schedule: 8 hour shift Monday to Friday Education: Bachelor's (Required) Experience: Professional data science: 10 years (Required) Python, SQL, SAS, and machine learning techniques: 5 years (Required) Large datasets and cloud platforms (AWS, GCP, Azure): 5 years (Required) Data visualization tools like Tableau and Power BI: 5 years (Required) Responsible use of AI in solution design: 5 years (Required) License/Certification: U.S. Citizenship or a Green Card (Required) Ability to Commute: Atlanta, GA 30334 (Required) Work Location: In person