<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 collect, clean, and analyze large datasets, build and evaluate machine learning models, and collaborate with other team members to deploy models into production.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Collect, clean, and analyze large datasets.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with other team members to deploy models into production.</li><li>Document code and models.</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>Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>1+ years of experience in data science or a related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication 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>Work from home option.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves collaborating with team members, analyzing data, building models, and evaluating results.  You'll be actively involved in the entire machine learning lifecycle, from data collection to deployment.</p>