<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 clients.</p><p><b>What you will do:</b> You'll collect, clean, and analyze large datasets, build and evaluate machine learning models, and collaborate with engineers to deploy these models into production.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models using various algorithms.</li><li>Clean and preprocess large datasets.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with engineers to deploy models into production.</li><li>Communicate findings and insights to both technical and 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, Mathematics, 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>Excellent problem-solving and analytical skills.</li><li>Strong 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.</li><li>A collaborative and supportive work environment.</li><li>Health Insurance</li><li>Paid Time Off</li></ul></p><p><b>A Day in the Life:</b> A typical day involves working on model development, data analysis, and collaboration with team members. You will also spend time researching new machine learning techniques and presenting your findings to stakeholders.</p>