Senior Staff Data Scientist Manager AI Data - Google Careers
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Senior Staff Data Scientist Manager AI Data
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place Mountain View CA USA
bar_chart Advanced
Advanced
Experience owning outcomes and decision making solving ambiguous problems and influencing stakeholders
deep expertise in domain.
Apply
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Minimum qualifications
Masters 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.
6 years of experience as a people manager within a technical leadership role.
About the job
As a part of Machine Learning Systems and Cloud AI MSCA we believe that high quality data is key to building better Machine Learning ML models especially in the era of Large Language Models LLMs. We work directly with model teams to define measure and improve data quality promote best practices and increase data availability and awareness.
The US base salary range for this full-time position is 262000-365000 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
Work with large data sets. Conduct analysis that includes data gathering and requirements specification processing cleaning and curation analysis visualization ongoing deliverables and presentations.
Represent analysis to stakeholders and organization executives in order to share insights influence product direction and answer difficult questions regarding data quality measurement and impact on model performance.
Define key metrics that are statistically sound and meaningful to measure data quality for data in various shapes and forms as well as to measure progress of customer engagement.
Research and develop analysis and optimization methods to improve the quality of Googles ML portfolio and applications including LLM model and training data planning.
Conduct independent research and advance the state of understanding in how data impacts ultimate quality of large language models and creating spend optimization priorities with data acquisition.
Information collected and processed as part of your Google Careers profile and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.
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 identityexpression 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 Googles EEO Policy Know your rights workplace discrimination is illegal Belonging at Google and How we hire.
If you have a need that requires accommodation please let us know by completing our Accommodations for Applicants form.
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.
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