<p><b>What role you will play in team:</b> You will be part of a dynamic team working on cutting-edge data science projects, contributing to innovative solutions.</p><p><b>What you will do:</b> You will be involved in the entire data science lifecycle, from data cleaning and preprocessing to model building and deployment.</p><p><b>Key responsibility:</b><ul><li>Perform data cleaning and preprocessing.</li><li>Develop and implement machine learning models.</li><li>Evaluate model performance and make improvements.</li><li>Communicate findings and recommendations to stakeholders.</li><li>Collaborate with cross-functional teams.</li><li>Stay up-to-date with the latest advancements in data science.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).</li><li>Strong programming skills in Python or R.</li><li>Familiarity with machine learning algorithms and techniques.</li><li>Experience with data visualization tools (e.g., Matplotlib, Seaborn).</li><li>Excellent communication and collaboration 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 options.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves working on data analysis tasks, collaborating with team members, attending meetings, and developing machine learning models.</p>