<p><b>What role you will play in team:</b> Contribute to the development and implementation of machine learning models to improve logistics efficiency.</p><p><b>What you will do:</b> Work with large datasets to build and test predictive models.</p><p><b>Key responsibility:</b><ul><li>Data cleaning and preprocessing</li><li>Feature engineering and selection</li><li>Model development and evaluation</li><li>Deployment and monitoring of models</li><li>Collaboration with cross-functional teams</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Statistics, Mathematics, Computer Science, or related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Strong analytical and problem-solving 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></ul></p><p><b>A Day in the Life:</b>  Focus on data manipulation, model training, and testing; collaborating with engineers for model deployment.</p>