<p><b>What role you will play in team:</b> You will be a key member of our analytics team, contributing to the development and implementation of innovative data-driven solutions.</p><p><b>What you will do:</b> You will build and deploy machine learning models to solve complex business problems and provide insights to stakeholders.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for various business problems.</li><li>Perform exploratory data analysis and feature engineering.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Communicate results and insights to both technical and non-technical audiences.</li><li>Collaborate with cross-functional teams to ensure successful project delivery.</li><li>Stay up-to-date with the latest advancements in machine learning and data science.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Proficiency in Python or R programming language.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Strong analytical and problem-solving skills.</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 and growth.</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 collaborating with team members, working on data analysis tasks, building and testing machine learning models, and presenting findings to stakeholders.</p>