<p><strong>What role you will play in team:</strong> You will be a key member of our data science team, contributing to the development and implementation of machine learning models for various business problems.</p><p><strong>What you will do:</strong> You'll be involved in all stages of the data science lifecycle, from data collection and preprocessing to model deployment and monitoring.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models to solve business problems.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with other data scientists and engineers to deploy models into production.</li><li>Communicate findings and insights to stakeholders.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in a quantitative field (e.g., statistics, mathematics, computer science).</li><li>Proficiency in Python or R programming languages.</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering).</li><li>Experience with data visualization tools (e.g., Matplotlib, Seaborn).</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Collaborative and supportive work environment.</li><li>Work from home opportunities.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day might involve data exploration, model building, model evaluation, collaboration with team members, and communicating results to stakeholders. You will be challenged and supported in your role.</p>