Direct End Client: State of Georgia Job Title: Data Scientist Duration: 10 Months Start Date: ASAP Location: Ave SW, Atlanta, GA 30334 (Hybrid) Position Type: Contract Type: Webcam Ceipal ID: SGA_Data893_SP Description: In this role, you will analyze large and/or complex datasets, develop predictive models, and derive actionable insights that drive key business decisions. We are seeking a highly analytical and detail-oriented Data Scientist with experience in Risk and Fraud analytics to join our growing team. 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 across our products and services. Key Responsibilities • Collect, clean, and analyze large, complex datasets from multiple sources. • Develop predictive models and machine learning algorithms to support decision-making and improve business performance. • Translatebusiness problems into data-driven solutions with measurable impact. • Develop and deploy machine learning models to detect, predict, and prevent fraudulent transactions and behavior patterns. • Analyze large volumes of structured and unstructured data from multiple sources to identify fraud trends and root causes. • 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 over time. • Conduct deep-dive investigations into fraud cases, creating detailed reports and actionable insights. • Stay current with emerging fraud techniques, industry best practices, and data science tools. Required Qualifications • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics or a related field. • 10 Years Professional experience in data science. • 5 Years Proficient in Python, SQL, SAS and machine learning techniques. • 5 Years Experience working with large datasets and cloud platforms (e.g., AWS, GCP, Azure). • Understanding of supervised and unsupervised fraud detection techniques, including anomaly detection, behavioral modeling, and network analysis. • 5 Years Experience with visualization tools like Tableau and Power BI. • 5 Years Experience in responsible use of AI if used in solution design. • Strong analytical skills and the ability to identify patterns and trends from data. Strong analytical skills and the ability to identify patterns and trends from data • Experience working with large datasets and cloud platforms (e.g., AWS, GCP, Azure). • Strong understanding of supervised and unsupervised fraud detection techniques, including anomaly detection, behavioral modeling, and network analysis. • Experience with visualization tools like Tableau and Power BI.