<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 on large datasets, build predictive models, and collaborate with engineers to deploy your solutions into production.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Analyze large datasets to identify patterns and insights.</li><li>Collaborate with engineers to deploy models into production.</li><li>Present findings and recommendations to stakeholders.</li><li>Stay up-to-date on the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Experience with Python or R.</li><li>Familiarity with machine learning algorithms.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication 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 options</li></ul></p><p><strong>A Day in the Life:</strong> You'll start your day by reviewing the progress of your models, then you'll spend most of the day building new models and testing different algorithms. You'll collaborate with other data scientists and engineers, and you'll present your findings to stakeholders in the afternoon.</p>