Senior Staff Research Data Scientist, AI Data

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

Job summary

Google is seeking a Senior Staff Research Data Scientist to lead data-driven AI initiatives for data quality and model improvement. You will own outcomes, define metrics, and partner with product and engineering teams to shape AI data strategies.

You will apply deep ML expertise, manage ambiguous problems, and communicate with executives to influence product direction, while driving scalable data solutions across large datasets at scale.

Qualifications

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

Responsibilities

• Work with large, complex 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.

Skills

Python

R

SQL

Machine Learning

Data Analysis

Education

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or related quantitative field

Job description

Senior Staff Research Data Scientist, AI Data

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corporate_fare Google Mountain View, CA, USA

Advanced

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

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

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 a tangible impact on the future of intelligent systems. If you're passionate about data and want to shape the trajectory of AI, your journey starts here.

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. Your ability to translate challenges into strategic opportunities will be critical as you collaborate closely with senior stakeholders.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 large, complex 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.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.