<p><b>What role you will play in team:</b> You'll be a key member of a data-driven team, extracting insights from large datasets to inform product strategy and improve user experience.</p><p><b>What you will do:</b> Design and implement advanced analytics models, visualize results and communicate findings to both technical and non-technical audiences.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models</li><li>Analyze large datasets to identify trends and patterns</li><li>Communicate findings to stakeholders through visualizations and presentations</li><li>Collaborate with engineers and product managers</li><li>Stay up-to-date on the latest advancements in data science</li><li>Contribute to the development of new data science tools and techniques</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's or PhD in Statistics, Computer Science, or a related field</li><li>Experience with statistical modeling and machine learning techniques</li><li>Proficiency in programming languages like Python or R</li><li>Strong communication and presentation skills</li><li>Experience working with large datasets</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package</li><li>Generous paid time off</li><li>Comprehensive health insurance</li><li>Opportunities for professional development</li><li>Collaborative and innovative work environment</li></ul></p><p><b>A Day in the Life:</b> A typical day might involve building and testing models, exploring new datasets, creating visualizations, collaborating with other data scientists and sharing findings with product teams.</p>