Engineering Analyst, Messages Spam and Abuse
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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.
- Experience with data analysis and database management (e.g., SQL, Python, etc.).
Preferred qualifications:
- Master's degree.
- 8 years of experience working on signal development, data analysis, cyber security, or anti-abuse.
- Experience with fraud/abuse investigations, fraud risk management, security and threat analysis in the context of internet, telephony, or communication-related products.
- Experience with one or more languages: SQL, Python, Golang, including knowledge in Messaging (xMS/RCS) or SIM/Phone Number fraud and abuse.
- Excellent communication and presentation skills (written and verbal) to deliver findings to cross-functional partners, and 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.
About the job
Google's brand is only as strong as our users' trust and their steadfast belief that our guiding principles are what's best for them. The Trust and Safety (T&S) team has the critical responsibility of protecting Google's users by ensuring online safety by fighting fraud and abuse across Google products like Ads, Maps, Chrome, Play, GMail, and Search.
The Messaging Spam and Abuse team works on preventing abuse within the messaging ecosystem (xMS, RCS, RBM, Google Messages). We are responsible for keeping users safe from phishing, malware, scams, and other unwanted interactions in our messaging products. We partner with product teams to identify potential abuse vectors ahead of new launches and establish, evaluate, and maintain abuse protections.
In this role, you will work globally and cross-functionally with Google Engineers and Product Managers to navigate challenging online safety situations and work on abuse and fraud at Google scale. 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.
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 diverse 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.
The US base salary range for this full-time position is $139,000-$207,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Analyze emerging trends, conduct complex data analysis, and identify new signals to develop solutions for scaled enforcement.
- Develop an understanding of abuse in messaging, current cross-product workflows, and available intelligence.
- Work with cross-functional teams to design and build anti-abuse protections leveraging reputation at all levels (phone number, user, IP etc.), and advise on counter-abuse strategies. Also includes productionizing Machine Learning (ML) models and heuristic rules.
- Build monitoring and alerting dashboards to track abuse levels, perform quality checks to measure system/model reliability, and resolve false positives. Create real-time awareness of threats and educate clients to reduce the problem upstream.
- Lead projects to prevent Google's infrastructure from being abuse, harm or fraud, resulting in losses to users and/or Google. Collaborate cross-functionally to develop requirements based on robust data analysis and granular product understanding.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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