Staff Data Scientist, Research, AI Data Intelligence

Overview

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field or equivalent practical experience.
• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
  
  

• 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
• Experience articulating business questions and using mathematical techniques to arrive at an answer using available data.
• Experience delivering bespoke analytics to executive stakeholders (problem scoping/definition, modeling, interpretation, presentation).
  
  

We're looking for an impact-driven Staff Data Scientist to become a key innovation driver within our Artificial Intelligence (AI) Data organization.This highly technical and direct role demands expertise in the full lifecycle of data for large-scale AI models (specifically LLMs): from collection and distillation to precision curation and refinement.

In this role, you will be instrumental in conceiving, architecting, and deploying novel data solutions that directly enhance AI performance. Your ability to translate ambiguous data issues into opportunities and quantifiable business value will be critical as you collaborate with executive engineering and product stakeholders.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities

• Be an executive datascience individual contributor, with particular focus on Human Data Collection for Large Language Models (LLMs).
• Design and deploy novel data acquisition and quality improvement techniques for foundational models.
• Utilize AI models and tools as integral components for evaluating, synthesizing, and understanding datasets.
• Act as a critical technical partner, collaborating closely with Research, Engineering, and Product teams (Cloud AI Data and Google DeepMind).
• Develop new methodologies to improve the performance of Google's models through better training data, including data collection, and insights.
  
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .