<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 various client projects.  You will work closely with senior data scientists and engineers to deliver high-quality solutions.</p><p><strong>What you will do:</strong> You will be involved in all stages of the data science lifecycle, from data collection and preprocessing to model development, deployment, and monitoring.  You will also contribute to the improvement of our existing data science processes and tools.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for various business problems.</li><li>Clean, process, and analyze large datasets.</li><li>Perform exploratory data analysis to identify patterns and insights.</li><li>Collaborate with other data scientists, engineers, and business stakeholders.</li><li>Document your work and communicate your findings effectively.</li><li>Stay up-to-date with the latest advances in data science and machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><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>Strong analytical and problem-solving skills.</li><li>Excellent communication and teamwork skills.</li><li>Experience with cloud computing platforms (AWS, Azure, or GCP) is a plus.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career growth.</li><li>A collaborative and supportive work environment.</li><li>Opportunities to work on challenging and rewarding projects.</li><li>Health insurance.</li><li>Paid time off.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves collaborating with team members, working on data analysis tasks, developing and testing machine learning models, and attending team meetings. You will also be expected to document your work and communicate your findings clearly and effectively.</p>