Google is seeking a Staff Data Scientist to join their Search Verticals and Growth team, focusing on developing advanced statistical and investigative methods to identify growth opportunities. This role combines technical expertise with strategic thinking to drive product improvements and user experience.
The position requires a strong quantitative background with either a Master's degree and 8 years of experience or a PhD with 6 years of experience. The ideal candidate will have expertise in analytics, coding (Python, R, SQL), and statistical analysis, with preferred experience in machine learning on large datasets and growth data science.
As a Staff Data Scientist, you'll work on reimagining search capabilities, from GenAI to UI optimization, using various data sources including logs, surveys, and human-eval driven methods. You'll be responsible for developing solutions that impact billions of users globally while maintaining Google's high standards for accessibility and usefulness.
The role offers competitive compensation ($197,000-$291,000 base salary) plus bonus, equity, and comprehensive benefits. Located in major tech hubs (Mountain View, Bellevue, or New York), you'll work with cross-functional teams to solve complex business problems and influence executive leadership decisions.
Key responsibilities include collaborating with stakeholders to identify business questions, designing and evaluating mathematical models, and owning the entire data analysis process. You'll need to effectively communicate solutions and advocate for users while focusing on sustainable, long-term growth strategies.
This position offers an opportunity to work at the intersection of data science, product development, and business strategy at one of the world's leading technology companies. You'll be part of Google's mission to organize the world's information while working on cutting-edge search technologies and contributing to products that impact users worldwide.
The role requires someone who can work autonomously, drive projects from conception to completion, and navigate complex technical and business challenges. You'll need to balance analytical rigor with practical business applications while maintaining Google's commitment to user-centric solutions and sustainable growth.