<p><strong>What role you will play in team:</strong> You will be a key member of our team, contributing to the development and implementation of machine learning models for our e-commerce platform.  Your analytical skills will be vital in improving our customer experience and business operations. </p><p><strong>What you will do:</strong> You will collect, clean, and analyze large datasets, build and deploy predictive models, and collaborate with engineers to integrate your models into our systems. </p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning algorithms</li><li>Analyze large datasets to identify trends and patterns</li><li>Build and deploy predictive models</li><li>Collaborate with engineers to integrate models into production systems</li><li>Present findings and recommendations to stakeholders</li><li>Stay up-to-date with the latest advancements in machine learning</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field</li><li>Experience with programming languages such as Python or R</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch</li><li>Strong analytical and problem-solving skills</li><li>Excellent communication 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 opportunities</li><li>Health Insurance</li></ul></p><p><strong>A Day in the Life:</strong> You'll start by reviewing data analysis results from the previous day, then focus on developing new machine learning algorithms. You'll work with engineers and product managers to deploy your models and address any issues that come up.  The day concludes with reviewing performance metrics and planning for the next day's tasks. </p>