Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. As a Data Scientist with the YouTube Youth Responsibility efforts, you will partner with Product Manager and the Engineering team to improve YouTube's ability to provide a safe, high-quality experience for kids and families. The YouTube Youth Responsibility team strives to be a positive influence by offering smarter, age-appropriate recommendations for videos. You will join our efforts to support families through a portfolio of ML-based products designed with their safety in mind—like content understanding classifiers, recommendations models, and Search and Discovery treatments. You will drive innovative approaches that ensure time on YouTube is always time well spent, with top-notch quality and safety at its core
Requirements
- coding (Python, R, SQL)
- analysis applications (extracting insights, performing statistical analysis, or solving business problems)
- utilizing relevant tools (e.g., SQL, R, Python)
- custom data infrastructure or existing data models
- gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python)
- Format, re-structure, and validate data to ensure quality
- Develop comprehensive knowledge of Google data structures and metrics
Responsibilities
- Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Using comprehensive technical knowledge, use custom data infrastructure or existing data models.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality.
- Report Key Performance Indicators (KPIs) to support business reviews with cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
- Provide investigative insights and recommendations to influence product feature development decisions, and with some guidance.
- Build and prototype analysis and business cases to provide insights. Develop comprehensive knowledge of Google data structures and metrics.
Other
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.
- 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience with a Master's degree).
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- Experience in Trust and Safety or Policy.
- Ability to drive family content recommendations improvements for kids, teens, and families on YouTube.
