<p><b>What role you will play in team:</b> Contribute to the development of innovative machine learning solutions for various clients across different industries.</p><p><b>What you will do:</b>  You'll be involved in all phases of the data science lifecycle, from data collection to model deployment.</p><p><b>Key responsibility:</b><ul><li>Gather, clean, and preprocess data from various sources.</li><li>Develop and evaluate machine learning models for different business problems.</li><li>Collaborate with cross-functional teams to identify and solve business problems.</li><li>Deploy models into production systems.</li><li>Document and present findings to clients.</li><li>Maintain code quality and documentation.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (e.g., statistics, computer science, mathematics).</li><li>Proficiency in Python or R.</li><li>Experience with various machine learning algorithms and techniques.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and presentation skills.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is a plus.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>Work on a diverse range of projects.</li><li>Health Insurance</li><li>Paid time off</li></ul></p><p><b>A Day in the Life:</b>  A typical day involves working on different projects, collaborating with team members and clients, analyzing data, developing models, and presenting results.</p>