Google Ads is looking to solve product or business problems using analytics, and improve end user experience
Requirements
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
PHD in mathematics, statistics, or computer science.
Knowledge of Ads systems, including auction, serving, and ads quality.
Knowledge of ML, constrained optimization theory and causal inference.
Strong analytical skills, mathematical background, and statistical modeling.
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, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Other
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
English proficiency is a requirement for all roles unless stated otherwise in the job posting.
Google is proud to be an equal opportunity and affirmative action employer.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
