<p><b>What role you will play in team:</b> Analyze large datasets to improve business decisions.</p><p><b>What you will do:</b> Develop and implement machine learning models for fraud detection.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for fraud detection</li><li>Analyze large datasets to identify trends and patterns</li><li>Communicate findings to stakeholders</li><li>Collaborate with other data scientists and engineers</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>Master's degree in statistics, computer science, or related field</li><li>3+ years of experience in data science</li><li>Proficiency in Python or R</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch)</li><li>Strong communication and presentation skills</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package</li><li>Opportunities for professional development</li><li>Work on impactful projects</li><li>Dynamic and collaborative work environment</li></ul></p><p><b>A Day in the Life:</b> Involves data analysis, model development, collaboration, and stakeholder communication.</p>