<p><strong>What role you will play in team:</strong> You will be a key member of our data science team, contributing to the development and implementation of machine learning models for various clients.</p><p><strong>What you will do:</strong>  You will work closely with cross-functional teams to understand business needs and translate them into data-driven solutions.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models using various algorithms.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and optimize for accuracy and efficiency.</li><li>Communicate findings and insights to both technical and non-technical audiences.</li><li>Collaborate with other data scientists and engineers to build scalable and robust solutions.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in computer science, statistics, or a related field.</li><li>Proficiency in Python or R programming languages.</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>Access to cutting-edge technology and resources.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day will involve collaborating with your team, working on data analysis tasks, building and testing models, and presenting your findings to stakeholders.  You will also participate in team meetings and contribute to knowledge sharing.</p>