<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 advanced analytical models.</p><p><strong>What you will do:</strong> You will be involved in the entire data science lifecycle, from data collection and cleaning 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 make recommendations for improvements.</li><li>Collaborate with other team members to deliver high-quality results.</li><li>Communicate findings and insights to stakeholders.</li><li>Stay up-to-date with the latest advancements in data science and machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in a quantitative field (e.g., statistics, mathematics, computer science).</li><li>Proficiency in Python or R programming language.</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</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.</li><li>Collaborative and supportive work environment.</li><li>Chance to work on challenging and impactful projects.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves collaborating with team members, working on data analysis projects, building and testing models, and presenting findings to clients.</p>