Senior Research Data Scientist, Core Ad Metrics at Google. This role sits in the Ads Metrics data science team that supports the Search Ads and Google Experiences (SAGE) organization, developing Google's Northstar metrics used organization-wide to inform launch decisions. Core Metrics focuses on developing and improving these metrics, including long-term business indicators and ads performance, which guide decisions across the company. In this role you will tackle challenging problems in measurement methodology and experiment design while helping the organization derive better business decisions from data. Google Ads powers the open internet by delivering value to people, publishers, advertisers, and Google through a range of advertising products and analytics. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US pay range is $174,000 – $253,000 USD plus a 15% bonus target, equity, and benefits. Responsibilities include collaborating with stakeholders across projects to translate business questions into tractable analyses, evaluation metrics, or mathematical models; designing and evaluating models to express and solve defined problems; gathering, extracting, and compiling data from multiple sources using SQL, R, and Python; ensuring data quality by cleaning, restructuring, and validating datasets and preparing them for analysis.

Senior Research Data Scientist, Core Ad Metrics at Google. This role sits in the Ads Metrics data science team that supports the Search Ads and Google Experiences (SAGE) organization, developing Google's Northstar metrics used organization-wide to inform launch decisions. Core Metrics focuses on developing and improving these metrics, including long-term business indicators and ads performance, which guide decisions across the company. In this role you will tackle challenging problems in measurement methodology and experiment design while helping the organization derive better business decisions from data. Google Ads powers the open internet by delivering value to people, publishers, advertisers, and Google through a range of advertising products and analytics. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US pay range is $174,000 – $253,000 USD plus a 15% bonus target, equity, and benefits. Responsibilities include collaborating with stakeholders across projects to translate business questions into tractable analyses, evaluation metrics, or mathematical models; designing and evaluating models to express and solve defined problems; gathering, extracting, and compiling data from multiple sources using SQL, R, and Python; ensuring data quality by cleaning, restructuring, and validating datasets and preparing them for analysis.