<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 other data scientists and engineers to build, test, and deploy models. You will also be responsible for monitoring model performance and making improvements.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Test and deploy models.</li><li>Monitor model performance.</li><li>Make improvements to models.</li><li>Collaborate with other data scientists and engineers.</li><li>Communicate results to stakeholders.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in computer science, mathematics, 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 algorithms.</li><li>Experience with SQL.</li><li>Excellent communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary.</li><li>Comprehensive benefits package.</li><li>Opportunities for professional development.</li><li>Positive and supportive work environment.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves working on various aspects of the machine learning life cycle, from data exploration and feature engineering to model training and evaluation, to final model deployment and maintenance.  You'll collaborate extensively with your team and stakeholders.</p>