Loading
G
Senior Data Scientist, Search Personalization
GoogleMountain View, CA, USASenior5+ years
Apply Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.
Minimum qualifications:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
- 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.
Preferred qualifications:
- 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.
- Experience in experimental design (A/B testing), metric definition, and behavioral analysis for complex, interactive user flows.
- Experience partnering with engineering teams to build data/evaluation pipelines, with knowledge of model-based evaluation or LLM frameworks.
- Ability to operate autonomously in a highly ambiguous domain, guiding cross-functional strategy and translating high-level product goals into data science initiatives.
About the job
The team is building the future of Personal Search — a next-generation product that seamlessly bridges the gap between private data and the web. Our mission is to unlock new information retrieval, allowing users to query their own search memory explicitly or rely on intelligent, implicit assistance for highly complex tasks.
In this new era of AI, we are integrating advanced GenAI personalization directly into Search. By reducing cognitive load, saving time, and introducing moments of true user delight, we are fundamentally reshaping how people interact with information.
As a Lead Data Scientist on our Personalization team, you will lead the quality, evaluation, and measurement strategy for the next-generation Personal Search product. This is a high-impact priority role where you will bridge the gap between user experience and system engineering.
You will split your impact between two critical pillars: defining the quantitative metrics for how personalization naturally manifests in conversational flows (e.g., co-creation, proactive nudges, and interactive memory), and building the high-fidelity auto-rater infrastructure required to evaluate these complex experiences at scale.
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: $174000 - $253000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Design, validate, and scale the quantitative metrics framework for conversational personalization quality, interactive memory, and proactive user nudges.
- Develop statistical methodologies to evaluate the trade-offs between proactive AI features and user friction.
- Partner directly with Engineering to build, validate, and optimize model-based evaluation frameworks (Auto-raters) within the personalization pipeline. Drive data-driven improvements across the entire quality flywheel, seamlessly connecting data acquisition, measurement via auto-raters, dashboard monitoring, and automated prompt optimization.
- Partner closely with core UXR, Product Management, and Engineering leads to translate qualitative user insights into scalable, quantitative experimentation and product roadmaps.
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.