Staff Product Data Scientist, Enterprise Platform
About The Position
To accelerate the growth and market leadership of Enterprise Buying Platforms by answering critical business questions and delivering actionable, data-driven insights that inform product and commercial strategy. The Enterprise Platform Data Science Team provides quantitative support, market understanding and a strategic perspective to our partners throughout the organization, in close collaboration with the Ads and Commerce Finance team.Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
Requirements
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, 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 work 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
- Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide thought leadership through strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).
- Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, investiagtive and product-specific expertise.
- Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives.
- Align cross-functional Ads stakeholders (GBO, Product and Finance) on a cross-functional process and discipline for the quantitative attribution of impact on key product initiatives.
- Understand of the data sets used by Enterprise Platforms and partner teams, collaborating with Engineering teams to identify and address instrumentation gaps, ensuring accurate data collection for key functionalities.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Web Search Portals, Libraries, Archives, and Other Information Services
Number of Employees
5,001-10,000 employees
