<p><b>What role you will play in team:</b> You will be a key member of our growing 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 be responsible for collecting, cleaning, and analyzing large datasets. You will also develop and implement machine learning models to improve our fraud detection capabilities.</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>Collaborate with other data scientists and engineers to improve our fraud detection capabilities.</li><li>Present findings to stakeholders.</li><li>Develop and maintain documentation for your work.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in computer science, mathematics, statistics, or a related field.</li><li>1+ years of experience in data science or a related field.</li><li>Experience with machine learning algorithms and techniques.</li><li>Proficiency in Python or R.</li><li>Strong communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>A 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 might involve reviewing data analysis, debugging code, attending team meetings, and presenting findings to stakeholders. You may also spend time researching new machine learning techniques.</p>