<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 with large datasets, build predictive models, and collaborate with cross-functional teams to deploy your solutions 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 cross-functional teams to deploy models into production.</li><li>Communicate findings and recommendations to stakeholders.</li><li>Stay up-to-date on the latest advancements in machine learning.</li><li>Maintain and improve existing models.</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 programming languages like Python or R.</li><li>Familiarity with machine learning algorithms and techniques.</li><li>Experience with data visualization tools like Tableau or Power BI.</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 and growth.</li><li>Collaborative and supportive work environment.</li><li>Work from home options available</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves collaborating with team members, analyzing data, building models, and presenting findings to stakeholders.  You'll be constantly learning and improving your skills.</p>