<p><b>What role you will play in team:</b> You will work with a team of talented data scientists and engineers to build and deploy machine learning models for various applications. You'll be involved in all aspects of the data science lifecycle, from data collection to model deployment.</p><p><b>What you will do:</b> You'll develop advanced analytical models, collect, clean and analyze data, and work with large datasets.</p><p><b>Key responsibility:</b><ul><li>Develop machine learning models to solve complex business problems.</li><li>Collect, clean, and analyze large datasets.</li><li>Implement and deploy machine learning models into production systems.</li><li>Communicate findings and insights to stakeholders.</li><li>Stay up-to-date on the latest advancements in machine learning.</li><li>Collaborate with other data scientists and engineers.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Data Science, Statistics, or a related field.</li><li>Experience with Python, R, or other statistical programming languages.</li><li>Experience with machine learning algorithms and techniques.</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</li><li>Strong communication and presentation skills.</li><li>Ability to work independently and as part of a team.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and advancement.</li><li>A collaborative and supportive work environment.</li><li>Flexible working hours.</li><li>Performance based bonus.</li></ul></p><p><b>A Day in the Life:</b> A typical day might involve working on data analysis, building and testing models, collaborating with other data scientists and engineers, and presenting findings to stakeholders. </p>