<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 improving customer experience.  You'll collaborate closely with engineers and product managers.</p><p><strong>What you will do:</strong> You will be responsible for designing, developing, and deploying machine learning models to solve complex business problems. You will also work on data cleaning, feature engineering, and model evaluation.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models to improve customer experience.</li><li>Clean, process, and analyze large datasets.</li><li>Develop and maintain data pipelines.</li><li>Collaborate with engineers and product managers to integrate machine learning models into products.</li><li>Communicate results and insights to stakeholders.</li><li>Stay up-to-date with the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Data Science, Statistics, or a related field.</li><li>2-4 years of experience in data science or machine learning.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Excellent communication and teamwork skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>A collaborative and supportive work environment.</li><li>Flexible work arrangements.</li><li>Opportunities for advancement.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves collaborating with your team, building and testing machine learning models, analyzing data, and presenting your findings to stakeholders. You'll also spend time learning about new technologies and best practices.</p>