Data scientist III, Research, Ads Insight and ...

Data Scientist III, Research, Ads Insight and Measurement Join to apply for the Data Scientist III, Research, Ads Insight and Measurement role at Google . Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. Preferred qualifications: 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. About the job: Google is one of the pioneers of modern digital advertising, and the enabler of a growing and open internet advertising ecosystem that supports millions of users, publishers, and advertisers. Modern digital advertising is a scaled business that relies on a mutually-reinforcing cycle of ad-sales, ad-planning, ad-implementation/optimization, and ad-measurement. Ad-measurement is key to this cycle, and consequently is critical to the business. Among other things, good measurement helps advertisers and platforms to conceptualize, create and plan successful campaigns, to serve the right ads to the right users, to help allocate resources to the right channels and to allocate bids in auctions and budgets across campaigns appropriately, and to audit the efficacy of ads in delivering on various campaign goals. Good measurement is also key for ensuring users are exposed to ads they find useful and for ensuring publishers, content creators, and other ad-tech firms can generate business with their content appropriately, both of which are key to sustaining an open and vibrant internet. In this role, you will focus on combining data at scale with formal science to make this possible. Our science helps make advertising useful and delightful to our users, and valuable and results-driven for our advertisers and publishers. Responsibilities: Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Seniority level Not Applicable Employment type Full-time Job function Information Technology and Engineering Industries Information Services and Technology, Information and Internet #J-18808-Ljbffr

Created: 2025-03-08