<p><b>What role you will play in team:</b> You will lead the development and implementation of advanced machine learning models to improve fraud detection and risk management within PayPal's payment platform.</p><p><b>What you will do:</b> You'll work closely with engineering and product teams to design, build, and deploy these models into production.</p><p><b>Key responsibility:</b><ul><li>Lead the design, development, and implementation of machine learning models for fraud detection and risk management.</li><li>Collaborate with engineering and product teams to integrate models into production systems.</li><li>Develop and maintain data pipelines for model training and evaluation.</li><li>Monitor model performance and identify areas for improvement.</li><li>Communicate findings and insights to stakeholders.</li><li>Stay up-to-date with the latest advancements in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>PhD or Master's degree in Computer Science, Statistics, or a related field.</li><li>5+ years of experience in developing and deploying machine learning models in a production environment.</li><li>Strong programming skills in Python or R.</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</li><li>Excellent communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and comprehensive benefits package.</li><li>Opportunities for career advancement and professional development.</li><li>Work in a dynamic and challenging environment.</li><li>Excellent work-life balance.</li><li>Global opportunities.</li></ul></p><p><b>A Day in the Life:</b> Your day will involve collaborating with engineers, data analysts, and product managers to improve the effectiveness of PayPal's fraud detection systems through advanced machine learning techniques.</p>