Data Scientist, Product, Search AI Experiences

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

Benefits offered by this job

Equity

Bonus target

Job summary

Google LLC in Mountain View, CA seeks a quantitative analytics-focused professional to drive measurement and evaluation for AI-powered Search experiences. You will collaborate across Engineering, Product, UX, and Research to shape how we measure success and improve user journeys through rigorous experiments and data-driven insights.

Individual pay ranges are provided with equity and a 15% bonus target. The role emphasizes cross-functional collaboration and rigorous statistical methods to inform

Qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of experience with analysis applications and coding or 2 years with a Master's degree.

Responsibilities

• Frame and solve ambiguous product problems and communicate results clearly to technical and non-technical audiences.
• Work cross-functionally with Product, Engineering, UX, and Research partners; influence prioritization with data.
• Define success metrics and quality frameworks for AI experiences in Search across tasks, efficiency, trust, and user satisfaction.
• Analyze human and auto-rater evaluations of AI experiences to build a holistic view of product quality.
• Design and assess live experiments to understand impact of new AI features on user journeys and make launch recommendations.

Education

Bachelor's degree in quantitative field

Tools

Python

R

SQL

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum 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.

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

Responsibilities

Learn more about benefits at Google .

• Frame and sol ve 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 au to-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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .