Staff Data Scientist, Measurement Methodology Innovation

Google; New York (NY); Hybrid; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google in New York, NY, USA is seeking a Staff Data Scientist focused on Measurement Methodology Innovation. You will lead analytics to innovate measurement tech for search quality, building automated evaluation platforms and large-scale simulations.

Strong quantitative skills and leadership are required for cross-functional impact. Responsibilities include designing automated evaluation pipelines, validating models with historical benchmarks, and translating insights into actionable business

Qualifications

• Master's degree in statistics, data science, mathematics, physics, economics, or a related quantitative field.
• 8+ years of analytics experience or 6+ years with a PhD, applying analytics to product or business problems.

Responsibilities

• Pioneer novel generative modeling and simulation techniques translating multimodal data into synthetic evaluation frameworks.
• Architect and iterate on next-generation LLM-based pipelines to model cognitive dynamics and user behavior.
• Design and execute rigorous validation paradigms with backtesting against historical benchmarks.
• Drive cross-functional innovation with engineering, research, and product teams to integrate automated evaluation platforms.
• Conduct advanced analytics investigations on large-scale discovery environments to accelerate product quality metrics.

Skills

Analytics leadership

Python

SQL

ML on large data

Statistical modeling

Education

Master's degree in a quantitative field

Job description

Staff Data Scientist, Measurement Methodology Innovation

Google

Locations: New York, NY, USA; Mountain View, CA, USA

Advanced

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

In 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.

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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.

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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.