Senior Data Scientist, Product, Google Shopping

Google•Mountain View, CA

About The Position

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. We are the Merchant Data Science team, a global team with members in US, London, and Zurich, acting as key data science partners to the Merchant Shopping Organization. Our data scientists collaborate with Product Managers and Engineers to manage specific issues and drive data-informed decisions. The Merchant Shopping Organization aims to make Google the best place for merchants to connect with shoppers. Central to this mission is the development of an exceptional Shopping Graph. In this role, you will be a key data science partner to our product and engineering team. You will be instrumental in shaping the future of our Shopping Graph by quantifying the impact of its components (such as merchants, brands, images and videos) on consumer shopping experiences across Google. You will be a strong technical data scientist, a strategic thinker, and a compelling communicator, capable of operating independently and influencing product and engineering road maps through data-driven insights. The US base salary range for this full-time position is $183,000-$271,000 + 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 about benefits at Google .

Requirements

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

Responsibilities

Serve as a Technical Lead, mentoring junior data scientists in defining high-value problem statements and ensuring project outcomes deliver measurable business impact.
Act as a consultant and thought partner to Engineering and Product Management leads, providing data-driven perspectives on product direction and opportunities.
Define, solve, 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.
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.