<p><b>What role you will play in team:</b>  You'll be a crucial member of our data science team, leveraging your analytical skills to improve our music recommendation engine and user experience.</p><p><b>What you will do:</b> You'll build predictive models, analyze large datasets, and present findings to stakeholders to inform product strategy.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning algorithms for music recommendations</li><li>Analyze large datasets using SQL and other tools</li><li>Communicate findings through visualizations and presentations</li><li>Collaborate with engineers to integrate models into production systems</li><li>Stay up-to-date with the latest advancements in data science</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (Statistics, Computer Science, etc.)</li><li>Proficiency in Python or R</li><li>Experience with machine learning algorithms</li><li>Strong SQL skills</li><li>Excellent communication and presentation skills</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package</li><li>Opportunities for professional growth</li><li>Work on a product used by millions of people</li><li>Collaborative and innovative work environment</li></ul></p><p><b>A Day in the Life:</b>  A typical day involves data exploration, model building, testing, and collaborating with engineers and product managers.</p>