<p><b>What role you will play in team:</b> You will be a crucial member of our data science team, contributing to the development and implementation of machine learning models for various business applications.  You'll collaborate closely with engineers and product managers to solve complex problems.</p><p><b>What you will do:</b> You'll be involved in the entire data science lifecycle, from data collection and cleaning to model building, evaluation, and deployment.  You'll use your expertise to improve our products and services.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models using various algorithms.</li><li>Clean and preprocess large datasets.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with engineers to deploy models into production.</li><li>Communicate findings and insights to stakeholders.</li><li>Stay up-to-date on the latest advancements in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in a quantitative field (e.g., computer science, statistics, mathematics).</li><li>Experience with programming languages such as Python or R.</li><li>Familiarity with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and teamwork skills.</li></ul></p><p><b>Benefits Included:</b><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 option.</li><li>Flexible working hours.</li></ul></p><p><b>A Day in the Life:</b> A typical day might involve cleaning and preprocessing data, building and training machine learning models, evaluating model performance, and collaborating with team members. You will also spend time on research and development, keeping up with the latest industry trends.</p>