HYBRID – Atlanta GA Local Preferred Data Scientist in Risk and Fraud analytics 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. Professional experience in data science. • Proficient in Python, SQL, SAS and machine learning techniques. • 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. • Experience with visualization tools like Tableau and Power BI. • Experience in responsible use of AI if used in solution design. • Strong analytical skills and the ability to identify patterns and trends from data.