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About the Role
Google for Education develops educational products, platforms, and business solutions to support teaching and learning globally. The Education Data Science team provides deep understanding of business and product performance, developing insights to drive strategic decisions. This role will contribute to the evolution and integration of Generative AI within Workspace Education products, shaping new product experiences and evaluation methods.
Responsibilities
- Build and manage relationships with investigative, engineering, and product leaders in partner product areas to align on metric instrumentation, resolve data dependencies, and co-develop analyses that influence shared product roadmaps and resource allocation.
- Define, own and evolve product/business success metrics. Report, analyze and forecast trends of key product/business metrics and make recommendations to improve them. Lead the design, analysis, and interpretation of product experiments.
- Apply technical expertise with observational data analysis, modeling, and causal inference to answer product/business questions.
- Architect unified data pipelines and single-source-of-truth measurement frameworks by integrating cross-PA data sources to map end-to-end user journeys and evaluate cross-product performance.
- Deliver effective presentations of data-driven insights and recommendations to multiple levels of stakeholders.
Requirements
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of work experience using analytics to solve product or business issues, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree).
Skills
- Python
- R
- SQL
- Statistical analysis
- Data analysis
- Modeling
- Causal inference
- Data pipelines
- Measurement frameworks
- Data-driven insights
- Generative AI
Location
- US
Work Type
- Full-time
Experience Level
- 8 years of work experience
- 5 years work experience with a Master's degree
Education Level
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Salary/Compensations
- $163000 - $236000 (USD)
Benefits
- 15% bonus target
- Equity
- Benefits
About the Company
- Google for Education develops educational products, platforms, and business solutions to support teaching and learning globally by bringing Google technology to students, teachers, and education leaders.