<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.</p><p><b>What you will do:</b> You will work closely with stakeholders to understand their needs, collect and clean data, build and test models, and deploy them into production.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models using Python and related libraries.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with other data scientists and engineers to deploy models into production.</li><li>Communicate technical findings to both technical and non-technical audiences.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in computer science, statistics, or a related field.</li><li>Proficiency in Python and related data science libraries (e.g., Pandas, NumPy, Scikit-learn).</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering).</li><li>Strong communication and collaboration skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Health Insurance</li></ul></p><p><b>A Day in the Life:</b>A typical day will involve working on various data science projects, collaborating with team members, and presenting findings to stakeholders. You will also spend time researching new techniques and tools to improve your skills.</p>