<p><b>What role you will play in team:</b> Contribute to the development and implementation of machine learning models for logistics optimization.</p><p><b>What you will do:</b> Work with large datasets to build predictive models.</p><p><b>Key responsibility:</b><ul><li>Clean and preprocess data.</li><li>Develop and evaluate machine learning models.</li><li>Deploy models into production environments.</li><li>Monitor model performance and make improvements.</li><li>Collaborate with engineers and product managers.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in a quantitative field.</li><li>Proficiency in Python and related libraries (scikit-learn, pandas, numpy).</li><li>Understanding of machine learning algorithms.</li><li>Experience with data visualization tools is a plus.</li><li>Strong analytical and problem-solving skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Health insurance.</li><li>Paid time off.</li><li>Opportunities for professional growth.</li></ul></p><p><b>A Day in the Life:</b> You'll spend your day cleaning data, building models, testing, and working alongside senior data scientists to learn the best practices.</p>