Senior Staff Research Data Scientist, AI Data Research

Google LLC; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google LLC in Mountain View seeks a Senior Staff Research Data Scientist to drive innovation in large language models. You will work on data strategies, model training data, and cross-functional collaboration with product and engineering teams to advance AI capabilities.

This role rewards deep ML expertise, mastery of data science methods, and the ability to define metrics, deploy solutions, and present results to executives. Individual pay is determined by skills, experience, and education.

Qualifications

• Master's degree or PhD with quantitative focus
• 10 years analyticsExperience solving product/business problems; coding in Python/R/SQL
• Strong foundation in data science methodologies and ML techniques

Responsibilities

• Work with data sets to solve complex data science problems
• Present findings to executives and influence strategy
• Collaborate cross-functionally with product management and engineering
• Define key metrics to measure success for AI initiatives
• Develop methodologies to improve model performance with better training data

Skills

Machine learning

Data science

Analytics

Python

R

SQL

Statistics

Education

Master's degree in Statistics/Data Science/Mathematics/Physics/Economics/Operations Research/Engineering

PhD degree

Tools

Python

R

SQL

Job description

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.

• Work with data sets and solve complex and ambitious data science problems.
• Share/present to executive stakeholders and executives, effectively defend your work, and influence strategy and product direction.
• Interact cross-functionally with a wide range of product and model teams. Work closely with Product Management and engineering to identify opportunities.
• Define key metrics to measure success in various shapes and forms.
• Develop new methodologies to improve the performance of Google's models through better training data, including data acquisition, and insights.

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.