<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 healthcare analytics.</p><p><strong>What you will do:</strong> You will work with large datasets, build predictive models, and present your findings to stakeholders.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models using various algorithms.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and iterate on improvements.</li><li>Communicate findings and insights to stakeholders through presentations and reports.</li><li>Collaborate with other data scientists and engineers.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field.</li><li>Proficiency in Python or R.</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 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>Health insurance.</li><li>Paid time off.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves working with large datasets, building and testing models, collaborating with colleagues, and presenting your findings.</p>