<p><strong>What role you will play in team:</strong> You will lead the development and implementation of machine learning models for fraud detection and risk management.</p><p><strong>What you will do:</strong> You'll leverage your expertise in machine learning to build and deploy models that improve the accuracy and efficiency of our systems.</p><p><strong>Key responsibility:</strong><ul><li>Lead the development and implementation of machine learning models for fraud detection and risk management.</li><li>Work with large datasets and perform data preprocessing and feature engineering.</li><li>Evaluate model performance and improve accuracy.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay up-to-date with the latest advances in machine learning.</li><li>Mentor junior data scientists.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's or PhD degree in computer science, statistics, or a related field.</li><li>5+ years of experience in data science.</li><li>Proficiency in Python and relevant machine learning libraries.</li><li>Experience with large-scale data processing.</li><li>Strong communication and leadership skills.</li><li>Experience in fraud detection or risk management (preferred).</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for career advancement.</li><li>A challenging and rewarding work environment.</li><li>Professional development opportunities.</li></ul></p><p><strong>A Day in the Life:</strong> A day might involve model development, data analysis, collaboration with team members, and staying abreast of the latest advancements in the field, potentially including mentoring junior members of the team.</p>