Data Scientist, Product, Search AI Experiences

About the role

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

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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.