The Gaming Discovery team at YouTube needs to help gamers find YouTube content, whether it's videos about gaming or Playables (mini-games playable within the YouTube app). This involves influencing and informing YouTube's product and engineering leadership through data science.
Requirements
- coding (e.g., Python, R, SQL)
- querying databases
- statistical analysis
- machine learning
- experiment design principles
- recommender systems
Responsibilities
- Use custom data infrastructure or existing data models, and design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL and Python), and format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer, and provide feedback to translate and refine business questions into analysis, evaluation metrics, or mathematical models.
Other
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 3 years of work experience using analytics to solve product or business problems
- PhD degree
