<p><b>What role you will play in team:</b> Work with a cross-functional team to build and deploy machine learning models for various business applications.</p><p><b>What you will do:</b> Analyze large datasets to extract meaningful insights and build predictive models.</p><p><b>Key responsibility:</b><ul><li>Collect, clean, and prepare data for analysis.</li><li>Develop and implement machine learning algorithms.</li><li>Evaluate model performance and iterate on improvements.</li><li>Communicate findings to both technical and non-technical audiences.</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>Master's degree in Data Science, Statistics, or a related field.</li><li>3+ years of experience in data science.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow).</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.</li><li>Opportunities for professional development and training.</li><li>A 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 data exploration, model building, model evaluation, and collaboration with team members to solve complex problems.</p>