<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 collaborate with engineers and product managers to build, test, and deploy models, ensuring high accuracy and performance. </p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Collaborate with engineers and product managers to integrate models into production systems.</li><li>Monitor model performance and make adjustments as needed.</li><li>Conduct research to explore new machine learning techniques.</li><li>Prepare and present reports on model performance and findings.</li><li>Maintain and update existing machine learning models.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in computer science, statistics, or a related field.</li><li>Experience with machine learning algorithms such as regression, classification, and clustering.</li><li>Proficiency in Python or R.</li><li>Strong communication and presentation skills.</li><li>Experience with data visualization tools.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>A collaborative and supportive work environment.</li><li>Health insurance, paid time off, and retirement plan.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves reviewing model performance, collaborating with team members, developing new features, and conducting research.</p>