<p><strong>What role you will play in team:</strong> You will be a key member of a team focused on improving the Amazon Music user experience through data analysis and machine learning.</p><p><strong>What you will do:</strong> You'll analyze large datasets, build predictive models, and develop insights to enhance our music recommendation engine.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for music recommendation.</li><li>Analyze large datasets to identify trends and patterns.</li><li>Communicate findings to stakeholders through presentations and reports.</li><li>Collaborate with engineers to integrate models into production systems.</li><li>Stay up-to-date with the latest advancements in data science and machine learning.</li><li>Design and conduct A/B testing to evaluate model performance.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's or PhD in Data Science, Statistics, or a related field.</li><li>Experience with Python, R, or similar programming languages.</li><li>Proficiency in statistical modeling and machine learning techniques.</li><li>Strong communication and presentation skills.</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>A dynamic and innovative work environment.</li><li>Access to cutting-edge technology and resources.</li></ul></p><p><strong>A Day in the Life:</strong> A day involves analyzing data, building models, collaborating with team members, and presenting findings. Continuous learning and exploration of new technologies are encouraged.</p>