<p><b>What role you will play in team:</b> Contribute to the development and implementation of machine learning models for fraud detection.</p><p><b>What you will do:</b> You will work alongside senior data scientists to build, test, and deploy models.</p><p><b>Key responsibility:</b><ul><li>Data cleaning and preprocessing</li><li>Feature engineering and selection</li><li>Model development and evaluation</li><li>Deployment and monitoring of models</li><li>Collaboration with other team members</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in a quantitative field</li><li>Proficiency in Python or R</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow)</li><li>Strong analytical and problem-solving skills</li><li>Understanding of statistical modeling techniques</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits</li><li>Opportunities for professional growth</li><li>Mentorship from experienced data scientists</li><li>Work from home option available</li></ul></p><p><b>A Day in the Life:</b> A day would involve data exploration, model building, testing, and collaboration with the team to improve model performance.  You would also learn and implement new techniques.</p>