<p><strong>What role you will play in team:</strong> You will be a key member of our growing data science team, contributing to the development and implementation of machine learning models for various business problems.</p><p><strong>What you will do:</strong>  You will work closely with cross-functional teams to understand business needs, gather data, and build predictive models to solve real-world problems.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models using various algorithms.</li><li>Conduct exploratory data analysis and feature engineering.</li><li>Evaluate model performance and refine models based on results.</li><li>Communicate technical findings to both technical and non-technical audiences.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay abreast of the latest advancements in data science and machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics).</li><li>Proficiency in programming languages such as Python or R.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and teamwork skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Collaborative and supportive work environment.</li><li>Health insurance, paid time off, and other benefits</li></ul></p><p><strong>A Day in the Life:</strong>  A typical day will involve working on various projects, collaborating with team members, conducting data analysis, building and testing models, and presenting results to stakeholders.</p>