<p><b>What role you will play in team:</b> You will contribute to developing innovative solutions using machine learning to improve our logistics and supply chain operations.</p><p><b>What you will do:</b> You'll work on projects involving predictive modeling, optimization, and anomaly detection for our logistics network.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models for supply chain optimization.</li><li>Analyze large datasets to identify patterns and trends.</li><li>Collaborate with engineers and operations teams.</li><li>Develop and maintain data pipelines.</li><li>Implement and monitor model performance.</li><li>Communicate findings and recommendations to stakeholders.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Operations Research).</li><li>Experience with Python and machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Experience with SQL and data warehousing.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and collaboration skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional growth.</li><li>Dynamic and collaborative work environment.</li><li>Flexible work options (Hybrid).</li></ul></p><p><b>A Day in the Life:</b> You might start by reviewing model performance, then work on data preprocessing and model development, followed by collaboration with team members and stakeholders.</p>