Staff Product Data Scientist, Google Shopping

Staff Product Data Scientist, Google Shopping Overview

This role is part of Google Shopping within Google’s Advertising and Commerce organization, and it focuses on building data science solutions that help merchants and consumers at global scale. The team’s mission is to create scalable, commercially focused, machine-consumable data products and insights that make complex problems easier to solve and improve outcomes across the commerce ecosystem. In this position, you would operate as a senior technical leader who combines advanced statistical thinking, deep domain knowledge, and strong product judgment to shape high-impact work across engineering and product teams.

The role is designed for someone who can work with a high degree of independence, tackle the organization’s most ambiguous and difficult problems, and help turn analytical work into durable products rather than isolated analyses. You would partner closely with Engineering and Product to influence Google’s agentic AI commerce initiatives, contribute to a fast-moving one-team operating model, and help ensure that the data science work is robust, reproducible, and built for long-term use.

What you will do

• Define ambitious data science goals and convert unclear business or product questions into structured measurement and analysis frameworks that can be audited and trusted.
• Transform complex data flows, causal inference methods, and agentic workflows into sustainable data products and reusable code assets.
• Provide fast, high-quality analytical guidance to Engineering and Product Management leaders so they can make informed decisions about roadmaps and strategic direction.
• Develop and evaluate sophisticated metrics, including approaches for assessing conversational and agentic systems, while collaborating with data engineering on schema design.
• Jump into urgent, high-friction data science problems, deliver quick insights, and still maintain strong standards for experimentation, modeling, and communication.
• Serve as a bridge between advanced quantitative analysis and business strategy across multiple high-impact teams.
• Work independently on the company’s most complex and ambiguous challenges rather than being limited to a single product area.
• Help build scalable, commercially oriented data products and insights that support both merchants and consumers.
• Contribute directly to the development of Google’s agentic AI commerce products in a collaborative, cross-functional environment.
• Be part of a global data science group of roughly 30 people based in Mountain View and London.

What Google is looking for

• A bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or another related quantitative field.
• At least 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and writing code in tools such as Python, R, or SQL; alternatively, 5 years of experience plus a master’s degree.
• A master’s degree in a quantitative discipline is preferred.
• Demonstrated ability to own outcomes, make decisions, solve ambiguous problems, and influence stakeholders.
• Strong domain expertise relevant to the work.
• Experience turning ambiguous concepts into statistical models, data structures, and production-quality code that becomes a sustainable data product.
• Background working with e-commerce or marketplace data, including user acquisition, inventory, and merchant or consumer behavior.
• Experience with large language models, causal inference, large-scale experimentation, and evaluation design for agentic workflows.
• Experience taking full accountability for a technical codebase while balancing delivery speed, analytical debt, and model stability.
• Ability to produce rigorous, reproducible scientific work and communicate findings clearly to technical and business partners.
• English proficiency, since Google states that English is required for all roles unless the posting explicitly says otherwise.

Additional context

The role sits within Google’s broader commerce and advertising business, where the company says it aims to make commercial information useful when it is relevant to what users want to find or do. The team works on products such as Google Shopping and Google Wallet, and it supports advertisers, publishers, and businesses around the world. Google emphasizes innovation in advertising and commerce and positions this role as part of that ongoing effort.

Google also notes that the work is highly collaborative and that the team operates in a one-team model with close partnership between data science, engineering, and product management. The posting highlights the importance of scientific quality, maintainability, and reproducibility, along with the ability to move quickly when needed.

How to apply

Applicants are directed to apply through Google Careers. Google also states that information collected through the Careers profile and any submitted application is subject to its Applicant and Candidate Privacy Policy.

Other information from the posting

Google includes its standard equal opportunity statement, saying it is committed to building a workforce that reflects the users it serves and to providing equal employment opportunity regardless of protected characteristics. The posting also says that accommodation requests can be submitted through Google’s accommodations form. In addition, Google states that it is a global company and that English proficiency is required for all roles unless the job posting says otherwise.

The posting includes standard notices for recruitment agencies, stating that Google does not accept agency resumes and is not responsible for fees related to unsolicited resumes. It also includes standard equity language explaining that any equity grant is discretionary, subject to Alphabet approval and the relevant stock plan and grant agreement, and that such grants are not guaranteed.

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Degree Requirement: Not Specified

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