Staff Research Data Scientist, AI Data Intelligence
Company: Google
Location: Mountain View
Posted on: April 1, 2026
|
|
|
Job Description:
Minimum qualifications: Master's degree in Statistics, Data
Science, Mathematics, Physics, Economics, Operations Research,
Engineering, or a related quantitative field. 8 years of experience
using analytics to solve product or business problems, coding
(e.g., Python, R, SQL), querying databases or statistical analysis,
or 6 years of experience with a PhD degree. Preferred
qualifications: 10 years of experience using analytics to solve
product or business problems, coding (e.g., Python, R, SQL),
querying databases or statistical analysis, or 8 years of
experience with a PhD degree. 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 the most resourceful
minds, define data excellence, and make a tangible impact on the
future of intelligent systems. The US base salary range for this
full-time position is $207,000-$300,000 bonus equity benefits. Our
salary ranges are determined by role, level, and location. Within
the range, individual pay is determined by work location and
additional factors, including job-related skills, experience, and
relevant education or training. Your recruiter can share more about
the specific salary range for your preferred location during the
hiring process. Please note that the compensation details listed in
US role postings reflect the base salary only, and do not include
bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities Be a distinct contributor, with a particular focus
on Human Data Collection for Large Language Models (LLMs) and
address complex data science problems. 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 complex 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.
Keywords: Google, Castro Valley , Staff Research Data Scientist, AI Data Intelligence, Executive , Mountain View, California
