About this role

Google is hiring a senior-level Data Scientist based in Mountain View, CA | Kirkland, WA. The posting calls out experience with Python, R, SQL, Data Structures and roughly 5+ years of relevant work. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $163,000–$237,000 per year.

Role: Data Scientist
Function: data engineering
Level: senior
Track: Individual contributor
Employment: Full-time
Location: Mountain View, CA | Kirkland, WA
Experience: 5+ years
Education: Bachelor's degree
Posted: Jun 17, 2026

AI Summary

Senior Data Scientist evaluates and improves Google Shopping products through statistical analysis, experimentation, and data-driven insights. Collaborates with engineers and product managers to measure quality, understand user behavior, and launch experiments. Requires bachelor's degree in quantitative field and 8 years of analytics/coding experience, or master's degree with 5 years experience.

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Job description

from Google careers

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Google Shopping is a comprehensive product search engine, a fast-growing product ads business, and an everyday essentials marketplace. We aim to revolutionize shopping by building great end-to-end user experiences that bring users, retailers, and manufacturers together. The Consumer Shopping Data Science team works on shopping products on various surfaces including Search, AI Mode, and Gemini.

As a Data Scientist in Consumer Shopping organization, you will evaluate and improve Google's Shopping products. You will collaborate with a multidisciplinary team of Engineers and Product Managers on a wide range of problems. You will bring investigative excellence and statistical methods to the challenges of measuring quality, improving consumer products, and understanding the behavior of our end-users, merchants, and partners. You will develop, organize and launch experiments and projects across Engineering and Product teams.

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

US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution.
Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues.
Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development.
Research and develop analysis and methods to improve the quality of Google's user-facing products (e.g., application areas include AI Mode shopping product quality, and shopping search quality).

Minimum qualifications:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Master's degree).
Experience creating experiments and pilots to gather data and insights.

Preferred qualifications:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).