Staff Research Data Scientist, AI Data Intelligence

Google Inc.; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Bonus target

Job summary

Google is at the core of the AI revolution, driving high-quality data for the most advanced Large Language Models. You will partner with world-class researchers and engineers to define data excellence and make a tangible impact on intelligent systems. Personal growth and a competitive compensation package are part of the role.

Individual pay is determined by job-related skills, experience, and relevant education or training, with an emphasis on equity and performance bonuses.

Qualifications

• Master's degree or PhD in a quantitative field with relevant analytics experience.
• 8 years of analytics solving product or business problems, or 6 years with a PhD.

Responsibilities

• Be a distinct contributor, focusing on Human Data Collection for LLMs and address complex data science problems.
• Design and deploy data acquisition and quality improvement techniques for foundational models.
• Use AI models and tools to evaluate, synthesize, and understand complex datasets.
• Collaborate with Research, Engineering and Product teams (Cloud AI Data and DeepMind).
• Develop methods to improve model performance through better training data and insights.

Skills

Analytics

Python

R

SQL

Statistics

Data querying

Education

Master's degree (Statistics/Data Science/Math/Engineering/related quantitative field)

Tools

Python

R

SQL

Job description

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corporate_fare Google place Mountain View, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

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• 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.