
Senior Scaled Abuse Analyst, YouTube Traffic Abuse
San Bruno, CAJob$159–230K/yrSeen todaySeen in employer's feed today
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Job overview
The Scaled Abuse Analyst will protect YouTube from scraping, automated abuse, and manipulation by analyzing bot and scraper activity and measuring the effectiveness of protections. The role owns complex anti-abuse problems from scoping through delivery, develops detection strategies and countermeasures, and uses data analysis and ML/AI to evaluate impacts on adversaries and real users. The position may involve exposure to graphic or offensive video content during team escalations.
Skills & qualifications
Skills
Qualifications
Full job description
Senior Scaled Abuse Analyst, YouTube Traffic Abuse
Share Senior Scaled Abuse Analyst, YouTube Traffic Abuse
corporate_fare YouTube place San Bruno, CA, USA; Mountain View, CA, USA
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Share Senior Scaled Abuse Analyst, YouTube Traffic Abuse
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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; Mountain View, CA, USA .
Minimum qualifications:
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Bachelor's degree or equivalent practical experience.
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5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
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5 years of experience in managing projects and defining project scope, goals, and deliverables.
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Experience with data analysis, statistical analysis, and data science.
Preferred qualifications:
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Master's degree in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Mathematics, Engineering).
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5 years of experience in a data-intensive role such as threat intelligence, data science , trust and safety, or fraud analysis, with specific exposure to anti-abuse, network analysis, or bot/scraper detection.
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5 years of experience or familiarity with one or more of the following languages: SQL, R, Python or C++.
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Experience with or understanding of machine learning systems, large language models (LLMs), and agentic AI behaviors.
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Excellent written and verbal communication skills.
About the job
Fast-paced, dynamic, and proactive, YouTube’s Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust & Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world.
As a Scaled Abuse Analyst, you will be at the forefront of protecting YouTube from scraping, automated abuse, and manipulation. You will use your analytical skills to understand the evolving bot and scraper landscape, identify new inorganic traffic patterns, and measure the effectiveness of our protections. You will grow in a fast, dynamic, demanding environment where no two days are ever the same. You will be a key contributor to the strategy for reducing network badness on YouTube, owning complex, multi-quarter anti-abuse problems from scoping through delivery. You will design and deploy detection strategies, countermeasures, and workflows from the ground up to ensure a high-quality, reliable platform experience against adversarial actors.
You will be an independent, critical thinker with sound metrics judgment who has a passion for solving technological challenges, tracking threat actors in the scraper ecosystem, and setting scalable standards for the team. You will leverage extensive data analysis and ML/AI, identify abuse trends and evaluate the impact of our anti-bot protections on both adversaries and real users. You may be exposed to graphic, controversial, and sometimes offensive video content during team escalations in line with YouTube's Community Guidelines.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
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Investigate and analyze complex patterns of abuse on YouTube, utilizing data-driven insights to develop countermeasures against scraping, and automated abuse.
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Analyze log datasets to identify trends, patterns, and anomalies that indicate inorganic traffic or malicious automated behavior within the YouTube ecosystem.
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Perform investigations using various data sources, identify product vulnerabilities, and drive anti-abuse experiments to measure the effectiveness of our protections against bots and scrapers.
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Collaborate with engineering teams to design, test, and launch new anti-bot rules, ML models, and system enhancements, while carefully evaluating the impact on real users.
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Leverage AI / ML to identify, track, address traffic abuse, and to evaluate the effectiveness of our abuse countermeasures.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
How this job compares
Set against the 5,076 open Data Analyst jobs on Olive Jobs, counted November 14, 2026.
- Pay
- This posting$159–230K/yr
- California median$104–175K/yr271 salary ranges
- US median$85–130K/yr3,432 salary ranges
This range's midpoint, $195K, is 41% above the California median midpoint ($138K) — in the top quarter of Data Analyst salary ranges in California.
- Openings
- Olive Jobs lists 390 open Data Analyst jobs in California and 5,076 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 5 years of experience; Data Analyst postings that state a minimum ask for 3 years at the median (4,007 postings).
- Education
- 2,079 of the 5,076 open Data Analyst jobs (41%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 14, 2026. Figures based on too few postings are left out.
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