<p><b>What role you will play in team:</b>  You'll be a vital member of our data science team, contributing to the development and implementation of innovative solutions using advanced analytics and machine learning. You will collaborate with cross-functional teams.</p><p><b>What you will do:</b> You will be responsible for the entire data science lifecycle, from problem definition and data acquisition to model building, deployment, and monitoring. </p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning algorithms for various business problems.</li><li>Clean, transform, and prepare data for model building.</li><li>Evaluate model performance and iterate on improvements.</li><li>Collaborate with stakeholders to define business problems and interpret results.</li><li>Deploy models into production and monitor their performance.</li><li>Stay up-to-date with the latest advances 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.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Strong statistical modeling 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 growth.</li><li>A dynamic and collaborative work environment.</li><li>Health insurance and other employee benefits.</li><li>Work-life balance initiatives.</li></ul></p><p><b>A Day in the Life:</b> A typical day might involve data exploration, model building, collaboration with team members, reviewing code, and presenting findings to stakeholders.</p>