<p><b>What role you will play in team:</b> You will be a key member of our data science team, contributing to the development and implementation of machine learning models for various business applications.  You'll collaborate closely with other data scientists and engineers to deliver impactful solutions.</p><p><b>What you will do:</b> You will be involved in the entire data science lifecycle, from data collection and preprocessing to model deployment and monitoring.  You'll be responsible for developing and evaluating machine learning models using various algorithms and techniques.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models to solve complex business problems.</li><li>Perform data analysis and preprocessing to prepare data for model training.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with other data scientists and engineers to develop and deploy models.</li><li>Document and present findings to stakeholders.</li><li>Stay up-to-date with the latest advancements in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in Computer Science, Statistics, or a related field.</li><li>Experience with Python or R programming languages.</li><li>Experience with machine learning algorithms such as regression, classification, and clustering.</li><li>Familiarity with data visualization tools like Matplotlib and Seaborn.</li><li>Excellent communication and teamwork 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>A collaborative and supportive work environment.</li><li>Health insurance and other benefits.</li><li>Paid time off.</li></ul></p><p><b>A Day in the Life:</b> A typical day would involve reviewing data, building models, testing, collaborating with your team and presenting your insights. You’ll be constantly learning and improving your skills.</p>