Help serve Google's worldwide user base of more than a billion people by providing quantitative support, market understanding and a strategic perspective to partners throughout the organization, and lead a team of Data Scientists to provide insights that help Product and Go-To-Market teams take decisions to delight users, grow business, and deliver Return on Investment for developer partners.
Requirements
- 13 years of experience with analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL)
- 5 years of experience as a people manager within a technical leadership role.
- 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 (preferred).
- 15 years of experience with analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (preferred).
- 6 years of experience as a people manager within a technical leadership role (preferred).
- Experience with SQL, R, Python
Responsibilities
- Perform analysis utilizing related tools (e.g., SQL, R, Python). Direct projects that combine investigative and organizational tests towards decisions.
- Own end-to-end projects, covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of investigative/statistical models, and presentation to stakeholders.
- Oversee the integration of cross-functional/organizational project/process timelines, drive improvements and recommendations, and define operational goals and objectives.
- Identify key areas for the team based on goals of the Games business and its Loyalty program. Distill these areas into projects, and obtain buy-in for them from the stakeholders.
- Mentor and manage junior data scientists, promote a culture of technical excellence and learning within the team.
- Use numbers to help partners make better decisions.
- Weave stories with meaningful insight from data.
Other
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 13 years of experience with analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 10 years of experience with Master's degree.
- 5 years of experience as a people manager within a technical leadership role.
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field (preferred).
- Google is proud to be an equal opportunity workplace and is an affirmative action employer.
