Senior Data Scientist, Product, Consumer Shopping
Senior Data Scientist, Product, Consumer Shopping
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Minimum qualifications:
- 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.
Preferred qualifications:
- 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.
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.
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.
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