<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 collect, clean, and analyze large datasets, develop and evaluate machine learning models, and communicate your findings to both technical and non-technical audiences.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models to solve business problems.</li><li>Collect, clean, and analyze large datasets.</li><li>Communicate findings to both technical and non-technical audiences.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay up-to-date on the latest advancements in machine learning.</li><li>Contribute to the development of new data science methodologies.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in a quantitative field (e.g., computer science, mathematics, statistics).</li><li>1+ years of experience in data science or a related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Strong communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Potential for international travel.</li><li>Health Insurance</li></ul></p><p><strong>A Day in the Life:</strong> You will typically start your day by reviewing your tasks for the day. Then, you will move to data collection and cleaning. You will spend the afternoon building, testing, and evaluating machine learning models. You will end your day by presenting your findings.</p>