<p><b>What role you will play in team:</b>  You'll be a key member of our data science team, using your expertise to derive insights from our vast logistics data.</p><p><b>What you will do:</b> You'll build predictive models, analyze trends, and provide actionable recommendations to improve efficiency and optimize operations.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for predictive analytics.</li><li>Analyze large datasets to identify trends and patterns.</li><li>Communicate findings and insights to stakeholders through reports and presentations.</li><li>Collaborate with other data scientists and engineers.</li><li>Develop and maintain data pipelines.</li><li>Stay up-to-date with the latest advancements in data science.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Data Science, Statistics, or a related field.</li><li>3-5 years of experience in data science.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning algorithms and libraries (Scikit-learn, TensorFlow).</li><li>Strong communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for career advancement and professional development.</li><li>A dynamic and challenging work environment.</li><li>Health insurance, paid time off, retirement plan.</li><li>Global career opportunities.</li></ul></p><p><b>A Day in the Life:</b> You'll be working on building and deploying machine learning models, analyzing data, and presenting your findings to business stakeholders.</p>