Senior Data Scientist, AI Data

Google is seeking a Senior Data Scientist to join their AI Data team, focusing on improving the quality of machine learning models used in production, particularly supporting the Gemini team. This role is at the intersection of data science and AI, where you'll work on data optimization techniques and build tools to improve model quality. The position offers a competitive salary range of $150,000-$223,000 plus bonus, equity, and benefits.

The role involves working with complex data sets, developing analysis pipelines, and collaborating with product teams to enhance data quality and model performance. You'll be directly contributing to Google's AI-first mission, particularly in the Gemini Era where data quality is crucial for training, fine-tuning, and RAG systems.

As a Senior Data Scientist, you'll be responsible for conducting end-to-end analysis, from data gathering to presentation of insights. You'll work closely with stakeholders to influence product direction and solve complex problems regarding data quality measurement and its impact on model performance. The role requires strong analytical skills, expertise in Python and SQL, and the ability to work cross-functionally with various teams.

The ideal candidate should have at least 5 years of experience in analytics and data science, or 3 years with a PhD. You should have a Master's degree in a quantitative field such as Statistics, Data Science, Mathematics, or related areas. The position offers an opportunity to work on cutting-edge AI technology and contribute to Google's mission of bringing data optimization techniques to a broad audience through integrated tools and platforms.

This role is perfect for someone who is passionate about AI, data quality, and building scalable solutions. You'll be part of a team that's working on the frontiers of research, determining what "quality" means in the context of AI data and how to measure its value. The position offers not just technical challenges but also the opportunity to influence how Google approaches AI development and implementation across its various product offerings.