Engineering Analyst, Trust and Safety, AdSpam

Benefits

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note:

By applying to this position, you will have an opportunity to share your preferred working location from the following:
Kirkland, WA, USA;
Austin, TX, USA.

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• 2 years of experience managing projects and defining project scope, goals, and deliverables.

• Master's degree in a quantitative discipline.
• 2 years of experience with one or more of the following languages: SQL, R, Python, or C++.
• 2 years of experience with machine learning systems.
• Excellent written and verbal communication skills.

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know‑how, excellent problem‑solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you are a big‑picture thinker and strategic team‑player with a passion for doing what’s right.

The mission of the Trust and Safety Ad Traffic Quality team is to make the ads ecosystem universally trusted and defended against invalid traffic. We analyze billions of events and create scalable methods to stop motivated fraudsters from causing harm.

US: $132,000 – $190,000 (USD) + 15% bonus target + equity + benefits.

• Apply advanced statistical methods to large complex data sets to analyze impact of abuse on the Video ads ecosystem.
• Perform fraud and spam investigations using various data sources, identify product vulnerabilities and drive anti‑abuse experiments to prevent abuse.
• Work with engineers and stakeholders to improve workflows via process improvements, automation and anti‑abuse system creation.
• Conduct complex fraud investigations using data and identify gaps in current defenses, explore/experiment with new signals and develop solutions for scalable enforcement on non‑compliant publisher inventory with a focus on Video ads.
• Perform on‑call responsibilities on a rotating basis, including weekend coverage/holidays. This role works with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or 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.