Senior Product Data Scientist, Google Shopping

Google•Apply•Published 23 hours ago•First seen 23 hours ago

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.

As a Senior Data Scientist, you are central to our mission of building intelligent, machine-consumable data products that enhance Google’s understanding of its e-commerce merchants and shoppers. You will bridge the gap between datasets and business outcomes, serving as a technical leader within a cross-functional team. At this level, you will anot confined to a product silo; instead, you will have the autonomy to solve the most impactful problems across the organization. You will partner with data engineering and product teams to build industry-leading insights and data assets.

Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow.

Responsibilities

Address high-priority issues across various product areas to drive significant organizational impact.
Own ideas from initial framing to final delivery, operating with velocity and holding the team accountable for high-quality results.
Partner with Data Engineering to build AI-centric, self-serve products that provide automated understanding of merchant experiences.
Partner with Data Engineering to build AI-centric, self-serve products that provide an automated understanding of merchant experiences.
Collaborate with User Experience Research (UXR) and cross-functional partners to ensure technical solutions are rooted in user understanding. Advocate for data integrity as a subject matter expert, resolving ambiguity through clear, data-driven communication.

Minimum qualifications:

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.

Preferred qualifications:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Experience taking projects from ambiguous concepts to finished, high-quality data products within a cross-functional unit.
Experience navigating e-commerce or marketplace data, including an understanding of merchant behaviour and consumer life-cycles.
Experience in SQL, with the ability to build maintainable data workflows and statistical models.