<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 to solve complex business problems.</p><p><b>What you will do:</b> You will work on diverse projects, from developing predictive models to designing and implementing data pipelines. You'll collaborate closely with other data scientists and engineers to deliver impactful results.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for various business applications.</li><li>Clean, process, and analyze large datasets.</li><li>Collaborate with cross-functional teams to identify business problems and propose data-driven solutions.</li><li>Present findings and recommendations to stakeholders.</li><li>Stay up-to-date on the latest advancements in machine learning and data science.</li><li>Maintain code quality and documentation.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics).</li><li>Proficiency in Python or R programming languages.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Experience with data visualization tools (e.g., Matplotlib, Seaborn).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent 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 and growth.</li><li>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 collaborating with team members, exploring new datasets, developing and testing machine learning models, and communicating results to stakeholders.  You will be actively involved in all stages of the data science lifecycle.</p>