<p><strong>What role you will play in team:</strong> Contribute to a team focused on extracting actionable insights from healthcare data.  You will work closely with other data scientists, engineers, and business stakeholders.</p><p><strong>What you will do:</strong>  Develop and deploy machine learning models to solve complex business problems, perform statistical analysis, and communicate findings effectively.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models to solve healthcare-related problems.</li><li>Perform statistical analysis on large healthcare datasets.</li><li>Develop data visualizations and reports to communicate findings.</li><li>Collaborate with engineers to deploy machine learning models into production.</li><li>Work with business stakeholders to understand their needs and translate them into data science solutions.</li><li>Stay up-to-date with the latest advances in data science and machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree or PhD in Data Science, Statistics, or a related field.</li><li>2-4 years of experience in data science.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering).</li><li>Experience with data visualization tools.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for career advancement.</li><li>Collaborative and supportive work environment.</li><li>Health Insurance, Paid Time Off, Professional Development.</li></ul></p><p><strong>A Day in the Life:</strong>  A day would involve data exploration, model development, model evaluation, and collaboration with team members and stakeholders.</p>