<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, build and evaluate models, and collaborate with engineers to deploy your work into production.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Work with large datasets to identify patterns and insights.</li><li>Collaborate with engineers to deploy models into production.</li><li>Communicate findings to stakeholders.</li><li>Stay up-to-date on the latest advances in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in a quantitative field (e.g., statistics, mathematics, computer science).</li><li>Experience with machine learning algorithms (e.g., logistic regression, support vector machines, random forests).</li><li>Proficiency 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><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>Excellent work-life balance.</li></ul></p><p><strong>A Day in the Life:</strong> You'll spend your day working with large datasets, building and evaluating models, and collaborating with engineers.</p>