Staff Product Data Scientist, Education

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA.

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with a Master's degree.

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 12 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

About the job

The Education Data Science 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.

Further, as Generative AI continues to evolve and becomes integrated with Workspace Education products, you will be at these developments. You will help shape new product experiences and develop innovative ways to evaluate the quality of the content and the user experience.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• 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.
• Govern cross- product area resource allocation and technical rollout strategies by architecting rigorous predictive models and causal impact frameworks that protect critical engineering and infrastructure investments.
• Perform data exploration to understand user behavior and identify opportunities for improving and growing Education products. Identify critical business and product functionalities and assess their business impact.
• Apply technical expertise with observational data analysis, modeling, and causal inference to answer the most important product/business questions.
• Partner with Product, Engineering, UX and cross-functional teams to influence, prioritize and support product and business strategy.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.