Google's Search Platform Data Science team is seeking a Staff Data Scientist to work on understanding and measuring Search systems, including Experiment, Reliability, Velocity, Latency, Capacity, Content, Logs Quality, and Search Infrastructure. This role offers an opportunity to impact billions of users worldwide by solving complex engineering challenges and expanding infrastructure while maintaining Google Search's accessibility and usefulness.
The position requires a strong quantitative background with either 8 years of work experience or 6 years with a PhD. You'll be working with cutting-edge data infrastructure, developing mathematical models, and conducting sophisticated analyses to improve Google's user-facing products. The role involves collaboration with various stakeholders, requiring excellent communication skills to translate business questions into actionable insights.
As a Staff Data Scientist, you'll be responsible for designing and evaluating models, researching analysis methods, and owning the entire data pipeline process. You'll work with tools like Python, R, and SQL to gather, extract, and analyze data across multiple sources. The role offers competitive compensation, including a base salary range of $197,000-$291,000, plus bonus, equity, and comprehensive benefits.
This position is perfect for someone who enjoys working on complex problems at scale, has strong analytical and programming skills, and wants to make a significant impact on one of the world's most-used products. You'll be joining a team that's reimagining what it means to search for information, making it an exciting opportunity for those passionate about data science and its application in search technology.