<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 clients.</p><p><b>What you will do:</b> You will work on various projects involving data cleaning, feature engineering, model building, and deployment. You will collaborate with other data scientists and engineers to deliver high-quality solutions.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models using various algorithms.</li><li>Clean and preprocess large datasets.</li><li>Perform feature engineering to improve model performance.</li><li>Deploy models into production environments.</li><li>Collaborate with other data scientists and engineers.</li><li>Communicate results and insights to stakeholders.</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 or R.</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>Excellent communication and teamwork skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Work on challenging and impactful projects.</li><li>Collaborative and supportive work environment.</li><li>Health insurance and other employee benefits</li></ul></p><p><b>A Day in the Life:</b> A typical day will involve working on data analysis, model building, and collaboration with team members. You'll be expected to communicate findings and progress effectively.</p>