<p><b>What role you will play in team:</b>  Develop and implement machine learning models to improve business processes and decision-making.</p><p><b>What you will do:</b>  Work with large and complex datasets to build predictive models and extract actionable insights.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models for various business problems.</li><li>Perform feature engineering, model selection, and hyperparameter tuning.</li><li>Evaluate model performance and make necessary improvements.</li><li>Collaborate with cross-functional teams to implement models into production.</li><li>Communicate findings and insights to stakeholders.</li><li>Stay abreast of the latest advancements in data science and machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (e.g., Statistics, Computer Science).</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering).</li><li>Experience with big data technologies (e.g., Hadoop, Spark) is a plus.</li><li>Excellent problem-solving and communication skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and comprehensive benefits.</li><li>Opportunities for professional development and growth.</li><li>A collaborative and supportive work environment.</li><li>Opportunities to work on challenging and impactful projects.</li></ul></p><p><b>A Day in the Life:</b>  A day will involve data exploration, model building, testing, and collaboration with team members.</p>