<p><b>What role you will play in team:</b> You will be a key member of our growing data science team, contributing to the development and implementation of machine learning models for various Google products.</p><p><b>What you will do:</b> You will be responsible for collecting, cleaning, and analyzing large datasets. You will build and deploy machine learning models to solve real-world problems.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models using various techniques</li><li>Collect, clean, and analyze large datasets</li><li>Collaborate with other engineers and scientists to develop new products and features</li><li>Present findings to stakeholders and make recommendations based on data analysis</li><li>Stay up-to-date on the latest advances in machine learning</li><li>Mentor junior data scientists</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree or PhD in a quantitative field (e.g., computer science, statistics, mathematics)</li><li>Experience with programming languages such as Python or R</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch</li><li>Strong analytical and problem-solving skills</li><li>Excellent 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</li><li>Work in a collaborative and supportive environment</li><li>Flexible work arrangements</li></ul></p><p><b>A Day in the Life:</b> A typical day involves collaborating with team members, building and testing models, analyzing data, and presenting findings to stakeholders. You will also have time for self-improvement and learning new skills.</p>