Senior Engineering Analyst AdSpam Trust and Safety @ Google
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Job Details
Overview
The role of the Senior Engineering Analyst AdSpam Trust and Safety at Google involves applying advanced statistical methods, analyzing complex datasets to understand fraud and abuse in digital advertising, and implementing scalable anti-abuse solutions. The ideal candidate will be experienced in data analysis, project management, and the application of ML/AI techniques including GenAI solutions, while possessing strong technical and communication skills.
Minimum Qualifications
- Bachelor's degree or equivalent practical experience
- 5 years of data analysis experience
- 5 years of project management experience
- 5 years experience with Python, R or SQL
- 3 years in ML/AI applications
- Experience with fraud, abuse detection or risk management
Preferred Qualifications
- Experience in digital advertising industry in a technical role
- Excellent problem-solving and critical thinking skills
- Strong communication skills for cross-functional interactions
About the Job
This role is critical in protecting Google users by working globally with developers, product managers, and Trust and Safety teams. The position is centered on identifying and mitigating digital ad fraud and abuse, safeguarding product integrity, and enforcing policies to maintain a trusted ads ecosystem.
Responsibilities
- Apply advanced statistical methods to evaluate the impact of abuse on mobile ads.
- Conduct fraud and spam investigations using diverse data sources.
- Collaborate with engineers and stakeholders to optimize workflows and implement automation.
- Work with multiple teams to update policies and secure product vulnerabilities.
- Lead complex investigations to identify gaps and develop robust defenses.
Compensation
The US base salary range for this full-time position is $147,000-$216,000 plus bonus, equity, and benefits. Detailed compensation is determined by location, skills, and experience.
Equal Opportunity
Google is an equal opportunity employer committed to diversity and inclusion. Candidates needing accommodations are encouraged to apply using our Accommodations for Applicants form.
Key skills/competency
- Data Analysis
- Machine Learning
- Fraud Detection
- Python
- R
- SQL
- Digital Advertising
- Project Management
- Statistical Methods
- Automation
How to Get Hired at Google
🎯 Tips for Getting Hired
- Tailor your resume: Highlight data analysis and ML skills.
- Research Google: Understand their trust and safety culture.
- Network strategically: Connect with current employees on LinkedIn.
- Prepare for interviews: Focus on technical and problem-solving examples.