<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 problems.</p><p><b>What you will do:</b> You will collaborate with cross-functional teams to define problems, gather data, build models, and deploy solutions.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models using Python and various libraries.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and iterate on improvements.</li><li>Collaborate with stakeholders to understand business needs and translate them into data science solutions.</li><li>Document and communicate findings effectively.</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>Proficiency in Python and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).</li><li>Experience with SQL and data manipulation.</li><li>Strong analytical and problem-solving skills.</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 and growth.</li><li>Collaborative and supportive work environment.</li><li>Health insurance.</li><li>Paid time off.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves reviewing data, building and testing models, collaborating with colleagues, and presenting results to stakeholders.  You'll be solving real-world problems using cutting-edge technology.</p>