<p><b>What role you will play in team:</b> Lead the development and implementation of advanced machine learning models for fraud detection.</p><p><b>What you will do:</b>  Design, build, and deploy robust and scalable machine learning solutions using big data technologies.</p><p><b>Key responsibility:</b><ul><li>Develop and implement advanced machine learning algorithms for fraud detection.</li><li>Work with large datasets using big data technologies (e.g., Hadoop, Spark).</li><li>Evaluate model performance and iterate on improvements.</li><li>Collaborate with engineers to deploy models into production.</li><li>Communicate technical information to both technical and non-technical audiences.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's or PhD degree in a quantitative field.</li><li>5+ years of experience in data science.</li><li>Proficiency in Python, R, and big data technologies.</li><li>Experience with various machine learning algorithms.</li><li>Strong problem-solving and communication skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for career advancement.</li><li>Global work environment.</li><li>Performance based incentives.</li><li>Excellent healthcare coverage.</li></ul></p><p><b>A Day in the Life:</b>  A day involves model building, data analysis, collaboration with engineers, and presenting results to stakeholders.</p>