<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. </p><p><b>What you will do:</b> You'll work with large datasets, building predictive models, and presenting findings to stakeholders. You will also collaborate with engineers to integrate your models into production systems.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models to solve business problems.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with other data scientists and engineers.</li><li>Communicate technical concepts to non-technical audiences.</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 degree in Computer Science, Statistics, 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><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>A collaborative and supportive work environment.</li><li>Health insurance, paid time off.</li><li>Performance based incentives.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves data exploration, model building, testing, and collaborating with team members. You'll also spend time communicating your findings to stakeholders and refining your models based on feedback.</p>