Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.
• 8 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).

Preferred qualifications:

• Master's degree.
• Experience with experimental design, training, data analysis, survey design, and statistical modeling.
• Experience in strategic analysis or operations management support (e.g., consulting, management reporting, Six Sigma certification).
• Ability to apply statistical training to real-world data.
• Ability to complete projects separately and work with cross-functional teams in a dynamic fast-paced environment.
• Excellent problem-solving and critical thinking skills.

About the job

The Education Data Insights team plays a fundamental role in the success of Google for Education by providing deep understanding of our business and product performance, and developing insights to help drive strategic decisions.

As a Product Data Scientist on the team, you will work closely with Product and Engineering teams throughout the entire development process to help build exceptional products enjoyed by users globally. You will conduct proactive analyses to identify and size new opportunities and perform thorough research to better understand user behavior and how users engage with our products. You will research, develop, and validate metrics to define what success looks like. You'll design and analyze experiments to measure the causal effects of product changes and democratize data access through developing dashboards and accurate reporting. You will help shape new product experiences and develop innovative ways to evaluate the quality of the content and the user experience.

Responsibilities

• Define, own, and refine product success metrics. Work with Product Management, UX, and Engineering to develop a comprehensive metric framework that ties to business uplift.
• Report, track, and rationalize key metrics and make recommendations to improve them. Identify critical product functionalities and assess their business impact. 
• Collaborate with Engineering teams to identify and address instrumentation gaps, ensuring accurate data collection for key functionalities, with a focus on business-generating customer journeys.
• Partner with Product, Engineering, and cross-functional teams to influence, prioritize, and support product strategy. Apply technical expertise with observational data analysis to address critical business questions. 
• Deliver effective presentations of data-driven insights and recommendations to multiple levels of stakeholders.