Join Google as a Senior Data Scientist focused on Intelligent Automation and Recommendation, where you'll lead the transformation of resource management for hyperscale containerized platforms. This role combines advanced analytics, machine learning, and optimization to impact critical infrastructure supporting large-scale AI deployments. You'll work with cutting-edge technology spanning tens of thousands of machines, supporting products like VertexAI and external customers.
The position requires expertise in statistical analysis, mathematical modeling, and machine learning, with a focus on applying these skills to planning and infrastructure problems. You'll collaborate with product designers and tech leads to provide quantitative insights and optimize products using ML methods and statistical tools.
The ideal candidate brings strong academic credentials in a quantitative field, coupled with significant practical experience in data science and analytics. Key skills include proficiency in Python, R, and SQL, along with expertise in statistical modeling and experimental design. Experience with large-scale computing, predictive modeling, and mathematical optimization is highly valued.
This role offers a unique opportunity to impact Google's core infrastructure while working with state-of-the-art technology and talented teams. You'll be part of Google's commitment to advancing AI and machine learning capabilities, while enjoying the benefits and growth opportunities that come with working at one of the world's leading technology companies.