Staff Data Scientist, Measurement Methodology Innovation

Staff Data Scientist, Measurement Methodology Innovation Share Staff Data Scientist, Measurement Methodology Innovation

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corporate_fareGoogleplaceNew York, NY, USA; 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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info_outline XIn most instances, this position requires in-person interviews as part of the hiring process.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA.

Minimum qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.

Preferred qualifications:

• 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.
• Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations.
• Applied experience with machine learning on large datasets.
• Ability to select the right statistical tools given a data analysis problem along with effective communication skills.
• Excellent leadership and self-direction skills along with willingness to both teach others and learn new techniques.

About the job As a Data Scientist for Search Quality, you will drive measurement technology innovation at the core of the Search Quality. You will spearhead the development of an automated eval platform designed for next-generation experimentation. In this role, you will pioneer novel synthetic modeling techniques that translate multifaceted real-world behavioral and cognitive signals into high-fidelity simulations. You will build a cutting-edge Large Language Model (LLM)-based framework and predictive scoring engines to model complex user dynamics at scale. Furthermore, you will establish advanced validation and backtest simulation frameworks against large-scale historical benchmarks to dramatically accelerate the frontier of product quality evaluation. In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. 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. Responsibilities

• Pioneer novel generative modeling and simulation techniques, translating multimodal data and behavioral signals into high-fidelity synthetic evaluation frameworks.
• Architect and iterate on next-generation LLM-based pipelines, building scalable predictive engines to model complex cognitive dynamics, sentiment, and latent user behaviors.
• Design and execute rigorous validation paradigms, establishing backtesting frameworks against historical benchmarks to verify simulation fidelity and predictive precision.
• Drive cross-functional innovation with engineering, research, and product teams to integrate automated evaluation platforms into the core experimentation lifecycle.
• Conduct advanced analytical and statistical investigations on large-scale discovery environments, developing new methodologies to accelerate product quality measurement and algorithmic iteration.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's 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 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. 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. 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.