Job Title: Data Scientist (Hybrid) Location: Atlanta, GA Duration: 10 Months Interview Process: Webcam Note: Hybrid onsite position. Locals required. Job 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. · 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. · 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 of professional experience in data science. · Proficient in Python, SQL, SAS and machine learning techniques. · Experience in responsible use of AI if used in solution design. · 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. Top Skills & Years of Experience: · Familiarity with graph analytics or network-based fraud detection tools – Highly Desired · Knowledge of regulatory frameworks and compliance issues related to fraud and financial crime – Highly Desired · Strong communication skills with the ability to explain technical solutions to non-technical stakeholders – Highly Desired · Bachelor’s or Master’s degree in a relevant field – Required · Professional experience in data science – Required – 10 Years · Proficient in Python, SQL, SAS and machine learning techniques – Required – 5 Years · Experience working with large datasets and cloud platforms (AWS, GCP, Azure) – Required – 5 Years · Understanding of fraud detection techniques (anomaly detection, behavioral modeling, network analysis) – Required · Experience with Tableau and Power BI – Required – 5 Years · Experience in responsible AI use in solution design – Required – 5 Years · Strong analytical skills and pattern recognition – Required #GSKIT Job Types: Full-time, Contract Pay: $65.00 - $73.00 per hour Expected hours: 40 per week Schedule: 8 hour shift Work Location: Hybrid remote in Atlanta, GA 30308