<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.  Collaboration and knowledge sharing are crucial in this role.</p><p><b>What you will do:</b> You will be involved in all aspects of the data science lifecycle, from data cleaning and preprocessing to model deployment and monitoring. You will work closely with stakeholders to understand business needs and translate them into technical solutions.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models using various algorithms.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Communicate findings and insights to stakeholders.</li><li>Collaborate with other data scientists and engineers.</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 or Master's degree in a quantitative field (e.g., statistics, mathematics, computer science).</li><li>Proficiency in Python or R programming language.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Strong understanding of statistical modeling and machine learning algorithms.</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.</li><li>Collaborative and supportive work environment.</li><li>Work from home option.</li><li>Health insurance</li></ul></p><p><b>A Day in the Life:</b>A typical day involves collaborating with team members, working on model development and improvement, analyzing data, and presenting findings to stakeholders. The work is challenging and rewarding, with a focus on innovation and impact.</p>