<p><strong>What role you will play in team:</strong> You will be a key member of our growing 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 will collaborate with cross-functional teams to understand business needs, design and develop data-driven solutions, and deploy models into production environments.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models using various algorithms and techniques.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and optimize for accuracy, efficiency, and scalability.</li><li>Collaborate with engineers to deploy models into production environments.</li><li>Communicate findings and insights to both technical and non-technical audiences.</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 Computer Science, Statistics, Mathematics, or a related field.</li><li>Experience with programming languages such as Python or R.</li><li>Familiarity with machine learning libraries like scikit-learn, TensorFlow, or PyTorch.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and collaboration skills.</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>Flexible work arrangements.</li><li>Health insurance.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day might involve data exploration, model development, code writing, collaborating with team members, presenting findings, and continuous learning.</p>