<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 improvement of our music recommendation algorithms.  You will collaborate with engineers and product managers to deliver impactful results.</p><p><b>What you will do:</b>  You will build and deploy machine learning models to improve user experience and engagement.  You will also analyze large datasets to identify trends and opportunities for growth.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning algorithms to improve music recommendations.</li><li>Analyze large datasets to identify trends and opportunities for growth.</li><li>Collaborate with engineers and product managers to deliver impactful results.</li><li>Communicate findings and insights to stakeholders.</li><li>Stay up-to-date on the latest advancements in machine learning.</li><li>Maintain and improve existing machine learning models.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Computer Science, Statistics, or a related field.</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering).</li><li>Proficiency in Python or R.</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</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 development.</li><li>Collaborative and supportive work environment.</li><li>Work from home flexibility.</li><li>Health Insurance.</li></ul></p><p><b>A Day in the Life:</b> You'll start your day reviewing model performance metrics, then collaborate with the engineering team on deploying a new model. The afternoon is dedicated to analyzing user data and identifying areas for improvement in the recommendation system, followed by a team meeting to discuss your findings.</p>