<p><b>What role you will play in team:</b> You will be a key member of our data science team, contributing to the development and implementation of machine learning models for music recommendation and personalization.</p><p><b>What you will do:</b> You will work on large datasets, build and evaluate models, and collaborate with engineers to deploy your solutions into production.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for music recommendation and personalization.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with engineers to deploy models into production.</li><li>Communicate findings and insights to stakeholders.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in data science, statistics, computer science, or a related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering).</li><li>Experience with big data technologies (e.g., Spark, Hadoop).</li><li>Excellent communication and teamwork skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Work from home option.</li></ul></p><p><b>A Day in the Life:</b> You'll spend your day collaborating with team members, analyzing data, building models, and deploying your solutions to improve the user experience on Amazon Music.  You'll also present your findings to stakeholders.</p>