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Senior Data Scientist, Product, AI Context Engineering

Google - Mountain View, CA, USA

Posted Jun 10, 2026

Benefits

Parental leave
18 weeks From the posting source
Non-birth-parent leave
18 weeks From the posting source
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Source-linked checked May 7, 2026
Salary
$163K-$237K From the posting source
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

79% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source
Seniority
Senior From the posting source

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Equity
Offered Verified - SEC 10-K source

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Scientist, Product, AI Context Engineering Mountain View, CA, USA If you'd like to stay at the epicenter at Google Search and pioneer the next era of our search products, you've come to the right team. As a Data Science team that supports Core Ranking and AI Context Engineering (CRAFT), we are the foundation for all of Google's key products, Search, AI Overview, and AI Mode. You will work alongside engineers and product managers, address the most complex issues, push the boundaries of Web and AI quality, and architect novel ways for billions of users to experience Google's capabilities on a daily basis as this is your chance to define State-of-the-Art (SOTA) Search products for Google. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $237000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Collaborate closely with Engineers and Product Managers to identify quality and metric headrooms. Conduct analyses of large-scale datasets, apply statistical/AI methods to solve problems, and present actionable insights and recommendations to various stakeholders. Build evaluations and measurements to guide hillclimbing and iterative improvements, and automate these evaluations and measurements in partnership with Engineering and Product teams. Function as an integrated partner to impel system changes and launches. Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience. 8 years of work experience using analytics to

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