<p><b>What role you will play in team:</b> Contribute to the development and implementation of machine learning models to solve real-world business problems</p><p><b>What you will do:</b> You will work closely with other data scientists and engineers to design, build, and deploy predictive models</p><p><b>Key responsibility:</b><ul><li>Gather and clean data from various sources</li><li>Perform exploratory data analysis</li><li>Develop and evaluate machine learning models using Python</li><li>Present findings and recommendations to stakeholders</li><li>Collaborate with cross-functional teams</li><li>Stay up-to-date with the latest advances in machine learning</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science)</li><li>Strong programming skills in Python</li><li>Experience with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch)</li><li>Excellent communication and presentation skills</li><li>Experience with big data technologies (e.g., Spark, Hadoop) is a plus</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits</li><li>Opportunities for career advancement</li><li>Professional development training</li><li>Flexible work arrangements</li><li>A collaborative and supportive work environment</li></ul></p><p><b>A Day in the Life:</b> A typical day might involve working on data cleaning, model building, experimentation, and collaboration with team members.</p>