<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 business applications.</p><p><strong>What you will do:</strong> You will work on data cleaning, feature engineering, model building, and model deployment. You'll collaborate with other data scientists and engineers to build robust and scalable solutions.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models using various algorithms.</li><li>Perform data cleaning, transformation, and feature engineering.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with other data scientists and engineers to build scalable solutions.</li><li>Document and present findings to stakeholders.</li><li>Stay up-to-date with 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, or a related field.</li><li>1-2 years of experience in data science.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Strong understanding of statistical concepts and data modeling techniques.</li><li>Excellent 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 and growth.</li><li>Collaborative and supportive work environment.</li><li>Work from home/hybrid option.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves collaborating with team members, working on data analysis projects, building and testing machine learning models, and presenting findings to stakeholders. You'll be constantly learning and improving your skills.</p>