<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 be involved in the entire data science lifecycle, from data collection and preprocessing to model deployment and monitoring.  This includes collaborating with other team members to translate business needs into data-driven solutions.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models to solve real-world business problems.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with other team members to design and implement data-driven solutions.</li><li>Communicate findings and recommendations to stakeholders.</li><li>Stay up-to-date with the latest advances in machine learning and data science.</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>Proficiency in Python or R programming language.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Experience with data visualization tools such as Matplotlib or Seaborn.</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>Work from home option available.</li><li>Health Insurance, Paid Time Off.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day might involve cleaning and preparing datasets, training machine learning models, testing and evaluating their performance, and collaborating with colleagues to integrate them into larger systems. You'll spend time writing code, analyzing data, and presenting results to stakeholders.</p>