<p><b>What role you will play in team:</b> Contribute to a team focused on extracting insights from large datasets to improve business decisions. </p><p><b>What you will do:</b> Develop and implement machine learning models to solve complex problems; present data findings to stakeholders. </p><p><b>Key responsibility:</b><ul><li>Collect, clean, and process large datasets.</li><li>Develop and implement machine learning models.</li><li>Evaluate model performance and make improvements.</li><li>Communicate findings to stakeholders.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay up-to-date with the latest machine learning techniques.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Data Science, Statistics, or related field.</li><li>2-4 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 statistical and analytical 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 growth.</li><li>Collaborative and supportive team environment.</li><li>Professional development allowance</li><li>Performance-based incentives</li></ul></p><p><b>A Day in the Life:</b> Involves data analysis, model building, data visualization and collaboration with stakeholders to present insights.</p>