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Senior Data Scientist, Product, Consumer Shopping

_corporate_fare_ Google _place_ Mountain View, CA, USA; New York, NY, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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XNote: 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:

+ 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.

Preferred qualifications:

+ Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

+ Experience with Gen AI Evaluation Science, ML and modern AI.

+ Experience working with peers and more executive stakeholders.

+ Ability to manage a product quality flywheel to inform iterations in model and product development.

About the job

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 user experiences that bring users, retailers, and manufacturers together. The Consumer Shopping Data Science team works on Shopping products on various surfaces including .com, AI Mode, and Gemini.

We are a shopping feature data science (DS) team within the Consumer Shopping DS, focused on building and evaluating AI-driven shopping experiences in Search (e.g., AI mode, AI Overview, etc.).

As a Senior Data Scientist, you will lead analytics and measurement for key shopping features, working closely with Product and Engineering to shape development, experimentation strategy, and long-term roadmap decisions. You will play a critical role in defining how we build and measure user experience within emerging AI-powered features, delivering insights that directly influence product evolution. By applying advanced experimentation and analysis, you will drive data-informed decisions across our AI-driven shopping surfaces.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .

Responsibilities

+ Lead analysis to shape the direction of AI-powered shopping features in Search and AI mode, including areas such as brand profile, user generated content and next-generation shopping experiences.

+ Design and analyze A/B experiments to evaluate shopping feature impact and tradeoffs.

+ Develop and operationalize novel measurement methodologies to quantify user behavior, engagement, quality, long-term user value for evolving shopping features.

+ Conduct post-launch and longitudinal analyses to understand the long-term impact, identify growth opportunities, and inform future product development.

+ Partner closely with Product, Engineering and User Experience (UX) to translate ambiguous product questions into clear frameworks and actionable insights.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.