<p><b>What role you will play in team:</b> You will be a key member of our growing data science team, contributing to the development and implementation of machine learning models for improving customer experience.</p><p><b>What you will do:</b> You will work on large datasets, build predictive models, and collaborate with other data scientists and engineers to deploy these models into production.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for various business problems.</li><li>Clean, process, and analyze large datasets.</li><li>Collaborate with other data scientists and engineers to deploy models into production.</li><li>Present findings and recommendations to stakeholders.</li><li>Stay current with the latest developments in machine learning.</li><li>Work independently and as part of a team.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Computer Science, Statistics, or a related field.</li><li>1+ years of experience in data science or a related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Experience with data visualization tools (Matplotlib, Seaborn).</li><li>Strong communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Work from home option.</li></ul></p><p><b>A Day in the Life:</b> A typical day might involve cleaning and preparing data, building and testing machine learning models, collaborating with colleagues, and presenting findings to stakeholders.</p>