Job Description

Job description We are seeking a highly analytical and detail-oriented Data Scientist with experience in Risk and Fraud analytics for a one year Government Contract. 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 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. Full-time, One Year Contract Benefits: Dental insurance Health insurance Paid time off Work Location: Hybrid remote in Atlanta, GA 30324 #J-18808-Ljbffr Diversified Technologies LLC

Job Tags

Full time, Contract work, Remote work,

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