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Data Scientist, Product, Search AI Experiences

Google, Mountain View, California +1

Posted pay

$138K–$197K

a year

Location: Mountain View, California +1
Work type: Onsite
Level: Not given
Experience: 5+ years
Skills in the job text: Python
SQL
R
Posted: 15 days ago
Last check: 8 days ago
Job type: Data science

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About Google: funding, hiring and pay

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The role

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/].

What you will do

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.

What you need

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.

Nice to have

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).

Read the job posting on the Google site

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Source: the company job board. We last checked this job 8 days ago. We first saw it 8 days ago. A job on a job board does not always mean that the team interviews people now.

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See total pay at Google on Levels.fyiBase, stock and bonus, as employees report it.

Google

Open tech jobs: 681
With posted pay: 74%
Median posted base: $174K–$252K

About Google: funding, hiring and pay

Compared with similar jobs

This base pay is near the median for data science jobs in the Bay Area with no level in the job title.

Median: $174K a year
Other jobs in the group: 109

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.