Data Scientist, Product, Search AI Experiences

Google LLC; Mountain View (CA); On-site; USD 138,000 - 197,000; Full time

Job summary

Google LLC in Mountain View, CA, USA seeks a Data Scientist to shape AI-powered search experiences. You will partner with Engineering, Product, UX, and Research to define metrics and evaluate complex journeys.

You will design experiments, analyze multi-source evaluations, and translate findings into product direction, applying LLM-based evaluation and causal inference techniques.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree.

Responsibilities

• Frame and solve ambiguous product problems and communicate the results clearly to both technical and non-technical audiences.
• Work cross-functionally with Product, Engineering, UX, and Research partners. Act as a thought partner and influence prioritization with data.
• Define success metrics and quality frameworks for multi-step and conversational AI experiences in Search, spanning task completion, efficiency, trust, and user satisfaction.
• Analyze human and auto‑rater evaluations of AI experiences alongside behavioral signals to build a holistic view of product quality.
• Design and assess live experiments to understand the impact of new AI features on user journeys, and make clear launch recommendations.

Skills

5 years experience with analysis apps,

Python/R/SQL coding

Education

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or related field

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or related field

Tools

Python

R

SQL

Job description

Data Scientist, Product, Search AI Experiences

Google Mountain View, CA, USA ; New York, NY, USA

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

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree.

Preferred qualifications

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).

About the job

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 this role, you will work cross-functionally with leads from Engineering, Product, UX, and Research to shape how AI-powered experiences in Search are measured and improved. As AI systems across the industry become more capable at reasoning through complex, multi-step goals, the question of what "success" means for a search journey is evolving, and you will help define that answer: by developing new metrics and evaluation approaches, designing experiments for complex user flows, and translating findings into product direction. Your work will directly inform the future of Google Search and AI Mode, applying techniques like LLM-based evaluation and causal inference to some of the most consequential product questions at Google. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.

• Frame and solve ambiguous product problems and communicate the results clearly to both technical and non-technical audiences.
• Work cross-functionally with Product, Engineering, UX, and Research partners. Act as a thought partner and influence prioritization with data.
• Define success metrics and quality frameworks for multi-step and conversational AI experiences in Search, spanning task completion, efficiency, trust, and user satisfaction.
• Analyze human and auto‑rater evaluations of AI experiences alongside behavioral signals to build a holistic view of product quality.

Design and assess live experiments to understand the impact of new AI features on user journeys, and make clear launch recommendations.

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.

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.