Associate Principal Analyst, Scams and Verification, Trust and Safety

About the role

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're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

Responsibilities

• Collaborate with cross-functional groups such as product manager, engineering, sales, and legal to drive projects that increase users' safety and provide better online experience through Google Ads.
• Apply advanced statistical methods and technical analysis to uncover sophisticated abuse vectors. Lead in-depth search investigations into complex tactics, techniques, and procedures to perform actor tracking and disrupt organized fraud rings focusing on Google Ads.
• Identify automation and efficiency opportunities and drive solutions through analysis or cross-functional partnerships.
• Analyze massive datasets to identify anomalies and build predictive visual models that influence the evolution of automated detection systems.
• Provide periodic on-call coverage and drive the rapid response for high-severity adversarial incidents, conduct thorough root cause analyses to implement long-term structural preventions. Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.

Qualifications

• Minimum qualifications: Bachelor's degree or equivalent practical experience.
• Preferred qualifications: Master's degree or PhD, experience with machine learning, experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g., Python).
• Excellent written and verbal communication and presentation skills, with the ability to influence cross-functionally at various levels.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

Pay

US: $141000 - $206000 (USD) + 15% bonus target + equity + benefits

Schedule

Not specified

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