<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 projects.</p><p><b>What you will do:</b> You will be involved in all stages of the data science lifecycle, from data collection and preprocessing to model deployment and monitoring. </p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models using various algorithms.</li><li>Perform data analysis and visualization to identify trends and insights.</li><li>Prepare and clean large datasets for analysis.</li><li>Collaborate with cross-functional teams to solve business problems.</li><li>Document and present findings to stakeholders.</li><li>Stay up-to-date with the latest advancements in data science and machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics).</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Familiarity with data visualization tools (e.g., Matplotlib, Seaborn).</li><li>Excellent problem-solving and analytical skills.</li><li>Good communication and presentation 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 collaborating with team members, working on machine learning models, analyzing data, and presenting findings. You'll be challenged to solve complex problems and contribute to innovative solutions.</p>