<p><strong>What role you will play in team:</strong> Develop and implement machine learning models for supply chain optimization.</p><p><strong>What you will do:</strong> Analyze large datasets, build predictive models, and improve operational efficiency.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for supply chain optimization.</li><li>Analyze large datasets to identify trends and patterns.</li><li>Develop and maintain predictive models.</li><li>Collaborate with other data scientists and engineers to deploy models.</li><li>Monitor model performance and make improvements.</li><li>Stay up-to-date with the latest advancements in data science and machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in a quantitative field.</li><li>Proficiency in Python or R programming languages.</li><li>Experience with machine learning algorithms.</li><li>Experience with large datasets and data visualization tools.</li><li>Strong communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Collaborative and supportive work environment.</li><li>Flexible work arrangements.</li><li>Health insurance, paid time off, retirement plan and more.</li></ul></p><p><strong>A Day in the Life:</strong> You'll start by reviewing data, build and test models, collaborate with colleagues and present your findings.</p>