Senior Data Scientist, Web Quality and AI Context Engineering

Google; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google Search Data Science professionals power insights for Search, AI Overviews, and Gemini in Search. You will collaborate with engineers and product managers to address web and AI quality challenges and architect state-of-the-art approaches for billions of users worldwide.

Individual pay is determined by job-related skills, experience, and education. US pay ranges from $174000 to $252000, with a 15% bonus target, equity, and benefits.

Qualifications

• Master's degree in a quantitative field as listed.
• At least 5 years using analytics to solve product or business problems; or 3 years with a PhD.
• Strong coding and statistical analysis skills using Python, R, and SQL.

Responsibilities

• Collaborate with engineers and product managers to identify quality and metric headrooms.
• Analyze datasets with statistical/AI methods and present actionable insights.
• Develop evaluations to guide improvements and automate them with Engineering and Product.
• Serve as an integrated partner to drive system changes and launches.

Skills

Analytics experience

Python

R

SQL

Statistics

Experiment design

Education

Master's degree in Statistics or related quantitative field

Job description

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.

Minimum qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.

Preferred qualifications:

• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
• Past experience working on a consumer facing product or quality evaluations preferred.
• Ability to apply appropriate quantitative models to real-world business problems, and solid experience with experimental design and analysis, survey design, evaluation methodologies, statistical modeling and machine learning algorithms.
• Demonstrated ability to convey complex information clearly and concisely, both verbally and in writing, with a focus on drawing out key implications and actionable insights.

About the job

As a Data Scientist on the team at the core of Google Search, you will provide the foundational insights that power our flagship products, including Search, AI Overviews, and Gemini in Search. You will support the team in critical areas such as Core Web Quality (Indexing, Retrieval, Ranking), News and Freshness, and AI Context Engineering (CRAFT). In collaboration with engineers and product managers, you will address complex challenges at the intersection of web and AI quality, architecting state-of-the-art approaches that redefine how billions of users access information. 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 joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Responsibilities

• Collaborate closely with Engineers and Product Managers to identify quality and metric headrooms.
• Conduct rigorous analyses of datasets, apply statistical/AI methods to solve complex problems, and present actionable insights and recommendations to various stakeholders.
• Develop evaluations and measurements to guide hillclimbing and iterative improvements; and automate them in collaboration with Engineering and Product.
• Serve as an integrated partner to impel system changes and launches.

Learn more about benefits at Google.

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 .