<p><strong>What role you will play in team:</strong> You will be responsible for developing and implementing machine learning models to improve fraud detection and risk management.</p><p><strong>What you will do:</strong> You will work closely with other data scientists and engineers to design and deploy scalable and efficient models.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for fraud detection and risk management.</li><li>Analyze large datasets to identify patterns and trends.</li><li>Build and maintain data pipelines.</li><li>Collaborate with other data scientists and engineers.</li><li>Communicate findings and recommendations to stakeholders.</li><li>Stay current with the latest advances in machine learning and data science.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in statistics, mathematics, or a related field.</li><li>3-5 years of experience in data science.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning algorithms.</li><li>Experience with large datasets.</li><li>Excellent communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for career advancement.</li><li>A dynamic and collaborative work environment.</li><li>Professional development opportunities.</li></ul></p><p><strong>A Day in the Life:</strong> You'll spend your day building, testing, and deploying machine learning models, collaborating with other data scientists and engineers, and analyzing data to improve fraud detection.</p>