Senior Data Scientist, Search AI Mode

Google Inc.

Mountain View (CA)

On-site

USD 174,000 - 252,000

Full time

2 days ago
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Job summary

Google is transforming Search AI with AI Mode, leveraging Gemini models to deliver multi-modal, conversational intelligence for billions of users.

As a Senior Data Scientist for AI Mode, you will shape data science strategy, design complex experimentation, and analyze multi-turn user journeys to guide product decisions alongside Engineering, PM, Research, and UX teams.

Qualifications

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or related field.
  • 5 years of work experience using analytics to solve product or business problems, or 3 years with a PhD.

Responsibilities

  • Define north star metrics and measurement frameworks for AI Mode.
  • Design, analyze, and interpret large-scale live experiments and logs for generative AI features.
  • Develop statistical and ML models to analyze query intents and user journeys.
  • Partner with PMs, Engineering Leads, and Research Scientists to drive product roadmaps.

Skills

Analytics
Python
R
SQL
Experimental design
Causal inference
A/B testing
NLP
Prompt engineering analytics
RLHF/RLAIF analysis

Education

Master's degree
PhD degree

Tools

Pandas
NumPy
Scikit-learn
PyTorch

Job description

corporate_fare Google place Mountain View, CA, USA

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  • 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.
  • Experience in experimental design, causal inference, and A/B testing.
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 with Generative AI/LLM evaluation, prompt engineering analytics, NLP, embedding-based topic modeling, or reinforcement learning feedback (RLHF/RLAIF) analysis.
  • Experience working on large-scale consumer products, search engines, recommendation systems, or conversational AI interfaces.
  • Strong proficiency in SQL (complex joins, analytical window functions) and scripting in Python (e.g., Pandas, NumPy, Scikit-learn, PyTorch) or R.
  • Deep understanding of multi-sided ecosystem dynamics and long-term user behavior modeling.
About the job

Google Search is undergoing a generational transformation. AI Mode (AIM) represents the next evolution of search—leveraging state-of-the-art Gemini foundation models to deliver multi-modal, conversational, and synthesized intelligence to billions of users globally.

As a Senior Data Scientist for AI Mode, you will sit at the intersection of Generative AI, Large Language Models (LLMs), and core Search. You will lead the data science strategy to evaluate model quality, design complex experimentation frameworks, understand multi-turn user journeys, and shape product strategy alongside Engineering, Product Management, Research, and UX.

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 Compensation

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

  • Define the north star metrics and measurement frameworks for AI Mode (e.g., growth, answer quality, factuality/hallucination rates, task completion, user satisfaction, and long-term engagement).
  • Design, analyze, and interpret large-scale live A/B experiments, search/interaction logs, and offline Side-by-Side (SxS) rater and user feedback for generative AI features, prompt changes, and UI paradigms.
  • Develop statistical, NLP, and machine learning models to cluster query intents, analyze conversational/multi-turn behaviors, and measure ecosystem health (e.g., publisher web traffic and ecosystem impact).
  • Serve as the primary quantitative thought partner for PMs, Engineering Leads, and Research Scientists, translating complex statistical analyses into high-impact product roadmaps and strategic decisions.

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 .

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.

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