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 the leader of the Store and Ads team, you will lead a large team of Data Scientists in providing insights and expertise that help Product and Go-To-Market (GTM) teams take the right decisions to delight users, grow our business, and deliver Return on Investment (RoI) for our developer partners.
Requirements
- 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 10 years work experience with a Master's degree.
- 5 years of experience as a people manager within a technical leadership role.
- 15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
- 6 years of experience as a people manager within a technical leadership role.
Responsibilities
- Perform analysis utilizing relevant tools (e.g., SQL, R, Python).
- Direct projects that combine problem-solving and organizational complexity towards clear, sound, and actionable decisions.
- Own projects end-to-end, covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/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 of focus for the team based on the short/medium/long-term goals of the games business and its loyalty program.
- Distill these areas of focus into projects, and obtain buy-in for them from the stakeholder group.
- Mentor and manage junior data scientists, fostering a culture of technical excellence and continuous learning within the team.
Other
- 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.
- 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.
