YouTube Data Science influences and informs YouTube’s product and engineering leadership. The Gaming Discovery team helps gamers find YouTube content whether it's videos about gaming (e.g., gaming-related content) or Playables (e.g., mini-games playable within the YouTube app).
Requirements
- coding (e.g., Python, R, SQL)
- querying databases
- statistical analysis
- Experience with machine learning
- experiment design principles
- Experience with recommender systems
Responsibilities
- Provide feedback to translate and refine business questions into analysis, evaluation metrics or mathematical models.
- 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).
- Format, re-structure or validate data to ensure quality and review the dataset to ensure it is ready for analysis.
Other
- Collaborate with stakeholders in cross-project and team settings to identify and clarify business or product questions to answer.
- 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, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
