<p><b>What role you will play in team:</b> 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. You will collaborate closely with engineers and product managers to translate business needs into technical solutions.</p><p><b>What you will do:</b> You will be involved in the entire data science lifecycle, from data collection and preprocessing to model deployment and monitoring. You will also be responsible for conducting research and developing new algorithms to improve our models' performance.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for various business problems.</li><li>Conduct data analysis and explore various techniques to prepare data for modeling.</li><li>Design and implement data pipelines for efficient data processing.</li><li>Collaborate with other team members to create innovative solutions.</li><li>Evaluate and improve model performance and address any issues</li><li>Document and present your findings to both technical and non-technical audiences.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in computer science, statistics, or a related field.</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Experience in data visualization tools like Matplotlib or Seaborn.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Collaborative and supportive work environment.</li><li>Flexible work arrangements.</li><li>Health Insurance.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves working on a specific machine learning task, such as cleaning data, building and testing models, and collaborating with team members. You'll spend time writing code, running experiments, analyzing results, and documenting your work.</p>