Is hybrid: No
Is remote: No
Employer: Google
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 5 years of experience managing projects and defining project scope, goals, and deliverables.
- 5 years of experience with SQL.
Preferred qualifications:
- Experience in data management, metrics analysis, experiment design and automation.
- .Experience with classification systems, ranking systems or similar.
- Experience collecting, managing and synthesizing data sets and information from disparate sources, statistical modeling, data mining and data analysis.
- Experience in problem-solving with a quantitative mind, capable of translating insights into business strategies and actions.
- Understanding high-level product and policy knowledge with the ability to both understand and design training roadmaps and communicate and persuade between multiple levels.
About the job
As a part of the Trust and Safety Ad Traffic Quality team, you will be trained to use tools that analyze truly Google-scale datasets, dive deep into advanced data analysis techniques to prevent fraud and abuse, collaborate closely on projects with Engineering, Product, Sales, and Legal stakeholders, and protect millions of advertiser dollars, helping make the ads ecosystem universally trusted and defended against invalid traffic by stopping motivated fraudsters from causing harm so users, advertisers, publishers, and Google can gain information and monetize the internet safely and usefully.
Responsibilities
- Perform analysis and investigations using a variety of data sources and take enforcement actions to identify and defend novel fraud and abuse on Google's ad products.
- Partner with Engineering teams to improve ad traffic infrastructure, defense systems, and workflows by proactively identifying and implementing efficiency improvements through advanced machine learning techniques, scaled defenses, and automation.
- Drive full life-cycle projects across Product, Engineering, and Trust and Safety teams to prevent abuse by improving policies and closing product vulnerabilities.
- Work collaboratively with teammates around the globe and deliver projects from beginning to end in a timely manner.
- Review or be exposed to sensitive content.
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. See also
Google's EEO Policy and
EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our
Accommodations for Applicants form.