<p><strong>What role you will play in team:</strong> You will be part of a dynamic team developing machine learning models for Amazon's recommendation engine.  Collaborate with engineers and product managers to improve customer experience.</p><p><strong>What you will do:</strong> Design, develop, and deploy machine learning models using large datasets.  Evaluate model performance and iterate on improvements.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning algorithms for recommendation systems.</li><li>Analyze large datasets to identify trends and patterns.</li><li>Collaborate with engineers and product managers to integrate models into production systems.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Stay up-to-date on the latest advances in machine learning.</li><li>Document your work clearly and concisely.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree or PhD in Computer Science, Statistics, or a related field.</li><li>3-5 years of experience in a data science role.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Strong communication and collaboration skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>A collaborative and supportive work environment.</li><li>Work from home options.</li></ul></p><p><strong>A Day in the Life:</strong> Begins with checking overnight model performance, followed by collaborating with the team to refine algorithms, then presenting findings to stakeholders.</p>