Senior Staff Research Data Scientist, AI Data Research

Job description

Minimum qualifications

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience. 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.

Preferred qualifications

12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree. Experience in Deep Learning, Infrastructure Systems, or Reinforcement Learning. About the job Imagine being at the core of the AI revolution, where your expertise directly fuels the most advanced Large Language Models.

We are the driving team behind high-quality data – the essential ingredient for unlocking unprecedented AI breakthroughs. Partner with resourceful minds, define data excellence, and make an impact on the future of intelligent systems. As a Senior Staff Research Data Scientist, you will be a key driver of innovation. This role demands deep expertise in machine learning and a strong foundation in core data science methodologies.

You'll be instrumental in conceiving and deploying solutions, directly contributing to the advancements of AI. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US

$262000 - $364000 (USD) + 25% bonus target + equity + benefits Learn more about benefits at Google .