<p><b>What role you will play in team:</b>  Contribute to a team that uses data to improve Visa's products and services.  You will be involved in the entire data science lifecycle, from problem definition to model deployment.</p><p><b>What you will do:</b>  Develop and deploy machine learning models to solve real-world business problems within the financial technology space.  Collaborate with engineers and product managers to implement solutions.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models to address business challenges related to fraud detection, risk management, or customer insights.</li><li>Collaborate with cross-functional teams (engineering, product, business) to define problems and implement solutions.</li><li>Clean, process, and analyze large datasets using various tools and techniques.</li><li>Develop and maintain data pipelines and infrastructure.</li><li>Communicate findings and recommendations effectively to stakeholders.</li><li>Stay up-to-date with the latest advancements in machine learning and data science.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (Statistics, Mathematics, Computer Science, etc.).</li><li>Proficiency in Python or R.</li><li>Strong understanding of machine learning algorithms and techniques.</li><li>Experience with big data technologies (Spark, Hadoop) is a plus.</li><li>Excellent communication and presentation skills.</li><li>Experience in the financial technology industry is a plus.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth within a global company.</li><li>Challenging and impactful work.</li><li>Collaborative and inclusive work environment.</li><li>Comprehensive Health Insurance</li></ul></p><p><b>A Day in the Life:</b> You'll spend your day collaborating with team members, working on data analysis, developing and testing models, and presenting results. You'll be constantly learning and solving complex problems.</p>