<p><b>What role you will play in team:</b> Contribute to the development and improvement of Amazon Music's recommendation algorithms and personalization features.</p><p><b>What you will do:</b> Analyze large datasets to identify trends and patterns, build predictive models, and evaluate their effectiveness.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for music recommendation.</li><li>Analyze large datasets of user listening habits and preferences.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with engineers to deploy models into production.</li><li>Stay up-to-date on the latest advancements in machine learning and music information retrieval.</li><li>Contribute to the development of new features and products.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's or PhD in Computer Science, Statistics, or a related field.</li><li>3-5 years of experience in data science.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Strong communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Work from home option.</li><li>Access to cutting-edge technology.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves working on model development, data analysis, and collaboration with team members. </p>