YouTube is looking to solve the problem of making its platform a safe place for users, viewers, and content creators around the world, by enhancing the YouTube experience, building internet safety, and protecting free speech in the ever-evolving digital world.
Requirements
- 3 years of experience working in data analytics, management consulting, data science, or a technical operations role.
- 3 years of experience in statistical problem solving and analyzing data sets using SQL or comparable coding language (e.g. Python, R, Java, C++).
- Experience working with multiple datasets/data warehouses and use from such data sets using relevant programs and coding.
- 2 years of experience with designing experiments, developing statistical models, measurement, and identifying business opportunities.
- Experience working in Trust & Safety Operations.
- Experience in project management and process optimization with data analytics.
- Ability to work with SQL, Python, R, Java, C++ or comparable coding languages.
Responsibilities
- Develop metrics and risk profiling frameworks to ensure safe feature launches across YouTube surfaces. Quantify and assess feature risks and drive right-size Trust and Safety investments.
- Build automated data pipelines and investigation frameworks to monitor launch safety, detect emerging abuse, and show ops performance. Provide low-latency reporting and sampling strategies for high-risk feature launches.
- Collaborate with Data Engineering and Product partners to launch broader metrics for new features and influence future roadmap. Contribute to solving technical issues by developing, validating, and documenting new features/solutions.
- Support leadership with agile, ad-hoc data analysis and presentations. Translate complex business questions into actionable insights and narrate data stories to cross-functional partners.
- Design, build, and drive actionable insights on metrics that influence business decision-making for TnS’s cross-product safety team, synthesizing information to optimize performance and deliver exceptional execution.
Other
- Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience.
- Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science, etc.).
- Excellent verbal, written, and presentation skills with strong attention to detail and experience influencing executive leadership on analytical decision making.
- Ability to effectively communicate analysis and recommendations across a wide range of non-technical audiences.
- US work authorization
