<p><b>What role you will play in team:</b> 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><b>What you will do:</b>  You will work on large datasets, build predictive models, and collaborate with engineers to deploy your solutions into production.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Work with large datasets using SQL, Python, and other relevant tools.</li><li>Collaborate with engineers to deploy your models into production.</li><li>Present your findings and recommendations to stakeholders.</li><li>Stay up-to-date on the latest advances in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Data Science, Statistics, or a related field.</li><li>Experience with programming languages such as Python or R.</li><li>Strong understanding of machine learning algorithms and techniques.</li><li>Experience working with large datasets.</li><li>Excellent 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>Collaborative and supportive work environment.</li><li>Health insurance, paid time off, and other benefits.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves working on data analysis, model development, and collaboration with other team members. You'll spend time coding, testing, and presenting your results.</p>