<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 problems. You will collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.</p><p><b>What you will do:</b> You will be responsible for data cleaning, preprocessing, feature engineering, model building, evaluation, and deployment.  You will also work on data visualization and communicating your findings to both technical and non-technical audiences.</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 cross-functional teams to understand business needs.</li><li>Stay up-to-date with the latest advancements in data science and 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 programming language.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Strong understanding of statistical modeling and machine learning techniques.</li><li>Excellent communication and presentation skills.</li><li>Experience with big data technologies (e.g., Hadoop, Spark) is a plus.</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 working with large datasets, building and testing models, collaborating with team members, and presenting findings to stakeholders.  You'll be constantly learning and improving your skills in a fast-paced environment.</p>