Senior Data Scientist, Web Quality and AI Context Engineering

As a Data Scientist on the team at the core of Google Search, you will provide the foundational insights that power our flagship products, including Search, AI Overviews, and Gemini in Search. You will support the team in critical areas such as Core Web Quality (Indexing, Retrieval, Ranking), News and Freshness, and AI Context Engineering (CRAFT). In collaboration with engineers and product managers, you will address complex challenges at the intersection of web and AI quality, architecting state-of-the-art approaches that redefine how billions of users access information.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, * Collaborate closely with Engineers and Product Managers to identify quality and metric headrooms.

• Conduct rigorous analyses of datasets, apply statistical/AI methods to solve complex problems, and present actionable insights and recommendations to various stakeholders.
• Develop evaluations and measurements to guide hillclimbing and iterative improvements; and automate them in collaboration with Engineering and Product.
• Serve as an integrated partner to impel system changes and launches.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google’sApplicant and Candidate Privacy Policy (./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 alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Master’s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.

• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree., * 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.
• Past experience working on a consumer facing product or quality evaluations preferred.
• Ability to apply appropriate quantitative models to real-world business problems, and solid experience with experimental design and analysis, survey design, evaluation methodologies, statistical modeling and machine learning algorithms.
• Demonstrated ability to convey complex information clearly and concisely, both verbally and in writing, with a focus on drawing out key implications and actionable insights., determined by factors including job-related skills, experience, and relevant education or training.