<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 our clients.</p><p><strong>What you will do:</strong> You will be involved in all stages of the data science lifecycle, from data collection and preprocessing to model deployment and monitoring. </p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models to solve business problems.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and make improvements.</li><li>Communicate findings and insights to stakeholders.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay up-to-date on the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in computer science, statistics, mathematics, or a related field.</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 such as scikit-learn, TensorFlow, or PyTorch.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and collaboration 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>The chance to work on challenging and rewarding projects.</li><li>Health Insurance</li><li>Paid Time Off</li></ul></p><p><strong>A Day in the Life:</strong> A typical day might involve data cleaning, model training, and collaboration with other team members. You'll also spend time communicating your findings to stakeholders and exploring new machine learning techniques.</p>