Google is seeking a Senior Data Scientist to join their Search AI team, focusing specifically on AI Mode in Google Search. This is an exciting opportunity to work at the intersection of data science and artificial intelligence, helping to revolutionize how billions of users interact with Google Search.
The role involves collaborating with senior engineers and product managers to enhance Google Search with the latest GenAI model capabilities. You'll be responsible for evaluating and improving Google's products through data-driven insights and statistical methods. The position requires expertise in analytics, coding (Python, R, SQL), and statistical analysis to solve complex product and business problems.
As a Data Scientist at Google, you'll be part of a company that has always prioritized engineering excellence. You'll work on massive scalability solutions and large-scale applications that impact billions of users worldwide. The role combines scientific rigor with practical application, requiring you to understand both the technical aspects of data science and the behavioral patterns of end users.
The position offers competitive compensation, including a base salary range of $166,000-$244,000, plus bonus, equity, and comprehensive benefits. You'll be based in either Mountain View, CA or New York, NY, working with some of the brightest minds in the industry.
Key responsibilities include collaborating with stakeholders to identify and clarify business questions, designing and evaluating mathematical models, and owning the entire data analysis process from gathering to insights generation. You'll be at the forefront of implementing AI capabilities in search technology, helping to shape how users interact with Google Search in the future.
This role is perfect for someone who combines strong technical skills with business acumen, has a passion for AI and search technology, and wants to make a significant impact on products used by billions of people. You'll be part of Google's mission to organize the world's information and make it universally accessible and useful, with a specific focus on advancing AI capabilities in search.