Engineering Analyst, Traffic Abuse, YouTube Trust and Safety Scaled Abuse

As a Scaled Abuse Analyst, you will be passionate about technologies and have experience with analyzing data and scaled systems of review. 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 badness on YouTube. You are a critical thinker with sound metrics judgment who has a passion for coaching others, solving technological issues and setting scalable standards. You can balance the short-term requirements we face while demonstrating the ability to see the big picture and make quantitatively based long-term recommendations accordingly.The US base salary range for this full-time position is $126,000-$181,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 data sets using advanced statistical methods to understand the impact of abuse to the YouTube ecosystem and provide data-driven insights and recommendations for effective abuse prevention and enforcement.
• Master technical concepts and systems to deliver meaningful results using them and communicate technical results and methods clearly.
• Investigate product vulnerabilities and abuse trends by performing investigations using various data sources and contribute strategy and development of new workflows against additional known vectors of abuse.
• Partner closely with stakeholders and partners in engineering, product, policy and legal to drive anti-abuse solutions involving and impacting various cross-functional areas.

Minimum qualifications:

• 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.
• 2 years of experience with one or more of the following languages: SQL, R, Python, or C++.

Preferred qualifications:

• Experience with fraud and abuse dynamics in online platforms.
• Experience with threat intelligence, anti-abuse, security, network analysis, fraud detection.
• Experience with or understanding of machine learning systems and concepts.
• Experience managing stakeholders and cross-functional partnerships.
• Familiarity with large language models.