<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 closely with engineers and product managers to build, deploy, and maintain these models, ensuring they are accurate and efficient.</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 and product managers to deploy models into production.</li><li>Monitor model performance and make improvements as needed.</li><li>Stay up-to-date on the latest advances in machine learning.</li><li>Contribute to the development of new data science tools and techniques.</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>1+ years of experience in data science.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Excellent communication and collaboration 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>Work from home option.</li></ul></p><p><strong>A Day in the Life:</strong>A typical day involves collaborating with your team, building and testing models, and monitoring the performance of existing models. You'll be challenged to solve complex problems and contribute to a critical business function.</p>