<p><b>What role you will play in team:</b> You will be a crucial member of our data science team, contributing to the development and implementation of machine learning models for fraud detection.  You'll work closely with engineers and product managers.</p><p><b>What you will do:</b>  You'll build and deploy machine learning models, analyze large datasets, and present your findings to stakeholders. You'll also contribute to the improvement of existing models and processes.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for fraud detection.</li><li>Analyze large datasets to identify trends and patterns.</li><li>Present findings to stakeholders in a clear and concise manner.</li><li>Collaborate with engineers and product managers to improve existing models and processes.</li><li>Stay up-to-date on the latest advances in machine learning.</li><li>Contribute to the overall success of the data science team.</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>1-2 years of experience in a data science role.</li><li>Proficiency in Python and R.</li><li>Experience with machine learning algorithms such as linear regression, logistic regression, and support vector machines.</li><li>Experience with big data tools such as Hadoop and Spark.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunity to work on challenging and rewarding projects.</li><li>Collaborative and supportive work environment.</li><li>Opportunities for professional development.</li><li>Flexible work arrangements.</li></ul></p><p><b>A Day in the Life:</b> A typical day might involve reviewing data, building and testing models, collaborating with team members, and presenting your findings to stakeholders. You'll need to be adaptable and able to manage multiple projects simultaneously.</p>