招聘
About the job
Trust and 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.
In this role, you will be working with a team of Analysts that assess and address threats against Google Ads accounts in the hijacking and scaled abuse space. With your investigative, technical and security skills, you will identify and solve complex problems at scale. You will be proactive, motivated, organized, responsible, innovative and work well in a fast-paced, global, cross-functional, and team-oriented environment and demonstrate strong technical know-how, effective communication to get things done. You will also work very closely with Engineering and Product teams to make sure that you can quickly adapt our products and defenses against new threat vectors, to ensure a safe experience for users and advertisers. You will build, leverage and evaluate models and operations to solve cyber security and abuse problems.
At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
Responsibilities
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Deliver actionable insights into ads account takeover and abuse threats while optimizing data collection and quality processes.
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Develop early warning alerts for evolving threats by researching attacker operations and analyzing their interactions with our systems.
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Lead Google Ads incident responses, including severe escalations with partner teams, while providing intelligence on adversarial campaigns and actors.
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Collaborate with India-based vendors to scale ads account protection, including escalations and quality control. Deliver training and advocate for ads safety tooling enhancements.
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Review graphic or offensive content and occasional on-call duties, including weekends and holidays.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
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2 years of experience managing projects and defining project scope, goals, and deliverables.
Preferred qualifications
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Master's degree in a quantitative discipline.
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2 years of experience with one or more of the following languages: SQL, R, Python, or C++.
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2 years of experience with machine learning systems.
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Excellent written and verbal communication skills.
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关于Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
员工数
Mountain View
总部位置
$1,700B
企业估值
评价
3.7
25条评价
工作生活平衡
3.8
薪酬
4.2
企业文化
3.4
职业发展
3.9
管理层
2.8
68%
推荐给朋友
优点
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
缺点
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
薪资范围
57,502个数据点
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0份报告
$176,704
年薪总额
基本工资
-
股票
-
奖金
-
$150,298
$203,110
面试经验
9次面试
难度
3.4
/ 5
时长
14-28周
录用率
44%
体验
正面 0%
中性 56%
负面 44%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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