<p><strong>What role you will play in team:</strong> You will be a part of a dynamic team working on innovative projects, contributing to the development and improvement of Amazon's recommendation algorithms.</p><p><strong>What you will do:</strong>  You will gain hands-on experience in data analysis, model building, and deployment within a real-world setting. You will also collaborate with senior data scientists and engineers.</p><p><strong>Key responsibility:</strong><ul><li>Collect, clean, and prepare large datasets for analysis.</li><li>Develop and implement machine learning models using various algorithms.</li><li>Evaluate model performance and iterate on improvements.</li><li>Collaborate with cross-functional teams to deploy models into production.</li><li>Document and present findings to stakeholders.</li><li>Participate in code reviews and maintain high-quality code.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Strong programming skills in Python or R.</li><li>Familiarity with machine learning libraries like scikit-learn, TensorFlow, or PyTorch.</li><li>Experience with SQL and data manipulation tools.</li><li>Excellent communication and teamwork skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive internship compensation.</li><li>Mentorship from experienced data scientists.</li><li>Opportunities for professional development.</li><li>Exposure to cutting-edge technologies.</li><li>A collaborative and supportive work environment.</li></ul></p><p><strong>A Day in the Life:</strong> You'll spend your day collaborating with your team, cleaning data, building models, testing hypotheses, and learning from experienced professionals.</p>