<p><strong>What role you will play in team:</strong>  You will leverage your data science expertise to optimize logistics and improve supply chain efficiency.</p><p><strong>What you will do:</strong>  You will build predictive models, analyze large datasets, and deliver actionable insights to enhance operational performance.</p><p><strong>Key responsibility:</strong><ul><li>Develop predictive models for logistics optimization.</li><li>Analyze large datasets to identify trends and patterns.</li><li>Design and implement data-driven solutions to improve supply chain efficiency.</li><li>Collaborate with cross-functional teams to implement recommendations.</li><li>Develop and maintain data pipelines.</li><li>Communicate findings and recommendations to stakeholders.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in data science, statistics, or 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.</li><li>Strong problem-solving and analytical skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>A challenging and rewarding work environment.</li><li>Hybrid work arrangement.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves building and testing models, analyzing data, collaborating with teams, and presenting findings. The role demands strong analytical and communication skills.</p>