Requirements:

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

Nice to haves:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Experience building commerce/shopping related products.

Act as a consultant and thought partner to Engineering and Program Management leads, providing data-driven perspectives on product direction and opportunities. Define, track, and analyze key metrics and attribution mechanisms to guide product development.
Conduct deep-dive analyses to identify the most significant opportunities for improving the Shopping Graph. Identify and advocate new investigative approaches.
Design and implement analysis (evals, log analysis etc.) to measure the impact of Shopping Graph data on key shopping experiences (especially AI-powered experiences like AIM and Gemini).
Communicate complex findings and recommendations clearly and effectively to technical and non-technical stakeholders, including executive leadership.
Operate with a high degree of autonomy, managing projects end-to-end from conception to impact.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.