In this role, you will guide product development and executive decisions with data. You will measure the long term impact of all the changes Google makes on users, advertisers, and Google systems with innovative experiment designs; identify new growth opportunities with deep data analysis.
Lead a team of data scientists to contribute to ads business growth by initiating, executing, and presenting impactful analysis and modeling projects.
Optimize the Search Ads serving system by delivering valuable business insights from mathematical models.
Coach and mentor data scientists by setting clear expectations, evaluating performance, and providing challenges to stretch their skills.
Collaborate with product, engineering, executive stakeholders, and other organizations to understand needs, assist in decision-making, and align on solutions.
Navigate multiple stakeholders and organizational complexity to drive data-driven product development.
Lead data science projects supporting marketing initiatives, translating business problems into analytical solutions and driving data-driven decisions for growth.
In this role, you will deploy strong problem-solving, technical, and analytical skills to deliver actionable insights and quantitative analyses that support key business decisions. You will bring a solid understanding of Search Ads mechanics and its commercial value propositions, combined with an eagerness to learn and innovate. By actively integrating AI and automation into your daily workflow—streamlining reporting, optimizing data pipelines, and augmenting financial models—you will drive operational efficiency and unlock capacity for in-depth search.
Responsibilities
Partner closely with GBO, GTM, and Sales stakeholders to deliver, data-driven financial insights, performance trends, and recommendations on core Search growth priorities.
Build collaborative cross-functional relationships across regional Finance, Sales, and internal business data science teams to align global reporting standards and data methodologies.
Lead and execute complex, end-to-end investigative projects, applying statistical modeling techniques to forecast Search auction dynamics, CPC fluctuations, query volumes, and bidding behaviors.
Deliver investigative insights to inform decision-making, helping stakeholders understand key business drivers, product trends, risks, and performance opportunities.
Monitor business performance trends, distilling massive, complex datasets into clear executive narratives, actionable risk-mitigation strategies, and visual dashboards for leadership team forums.
Requirements
Bachelor's degree in Business
Finance
Economics
Statistics
another quantitative field
Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field
Staff Research Data Scientist, Search Ads MetricsNewGoogle · Mountain View, US