<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 for various business applications.</p><p><b>What you will do:</b> You'll work closely with stakeholders to understand business needs and translate them into data-driven solutions.  This includes data cleaning, feature engineering, model building, and deployment.</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>Collaborate with engineers to deploy models into production.</li><li>Communicate findings and insights to stakeholders.</li><li>Stay up-to-date on 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, or a related field.</li><li>Experience with Python or R programming languages.</li><li>Familiarity with machine learning libraries (scikit-learn, TensorFlow, PyTorch).</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.</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 colleagues, working on data analysis tasks, building and testing models, and discussing results with stakeholders.  You'll be challenged to find creative solutions to complex problems.</p>