<p><strong>What role you will play in team:</strong> You will be a key member of our data science team, contributing to the development and implementation of machine learning models for fraud detection.</p><p><strong>What you will do:</strong> You will work on large datasets to build, test and deploy predictive models using various algorithms and techniques.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Collaborate with cross-functional teams to integrate models into existing systems.</li><li>Evaluate model performance and make necessary improvements.</li><li>Prepare and present findings to stakeholders.</li><li>Stay up-to-date with the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Statistics, Computer Science, or related field.</li><li>Proficiency in Python or R programming languages.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Health insurance.</li><li>Paid time off.</li></ul></p><p><strong>A Day in the Life:</strong> You'll spend your day working on model development and deployment, collaborating with team members, and presenting your findings to stakeholders.  You will also research new methods and techniques.</p>