<p><strong>What role you will play in team:</strong> Develop and implement machine learning models to solve business problems.</p><p><strong>What you will do:</strong> Work with large datasets to extract meaningful insights and build predictive models.</p><p><strong>Key responsibility:</strong><ul><li>Gather and clean large datasets.</li><li>Develop and implement machine learning algorithms.</li><li>Evaluate and improve model performance.</li><li>Deploy models into production environments.</li><li>Collaborate with other data scientists and engineers.</li><li>Communicate findings to both technical and non-technical audiences.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's or PhD in a quantitative field (e.g., Statistics, Computer Science).</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Strong understanding of statistical modeling techniques.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and training.</li><li>A collaborative and supportive work environment.</li><li>Work on challenging and impactful projects.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves data exploration, model building, testing, and collaborating with the team to address business needs. There is a strong emphasis on collaboration and continuous learning.</p>