Senior Data Scientist, Product, Consumer Shopping

Google • Mountain View, CA

1d • $156,000 - $229,000

About The Position

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. As a Senior Data Scientist, you will lead the effort in conducting key strategic and engaged analysis using both log and third-party data sources like panel and measure protocol data. You'll share insights directly with leadership to affect product roadmapping. 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 about benefits at Google [https://careers.google.com/benefits/].

Requirements

• Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
• 8 years of experience using analytics to solve product or business problems, or in coding (e.g., Python, R, SQL), querying databases, or statistical analysis.
• Experience with metrics analysis.
• Experience with user experience measurement.

Nice To Haves

• Experience working with peers and executive stakeholders.
• Experience in experiment design and analysis.
• Experience with Gen AI evaluation science, ML, and modern AI.
• Ability to manage a fast-paced product quality flywheel to inform iterations in model and product development.

Responsibilities

• Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Research and develop analysis and methods to improve the quality of Google's user-facing products.
• Understand the e-commerce performance and Google Shopping stance within the whole of e-Commerce.
• Interact cross-functionally with a wide variety of leaders and teams (e.g., Engineering, Product Management) to identify opportunities for design and to assess product improvements.
• Make business recommendations with effective presentation of findings at multiple levels of stakeholders through clear visual displays of quantitative information.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior