Senior Staff Data Scientist, Product
Google · Mountain View, CA · 1 wk ago
On-siteEngineeringFull-time
About the role
Data Scientists at Google provide quantitative support, market understanding, and a strategic perspective to our partners throughout the organization. They serve as analytics experts for their teams, using data to help make better decisions. They weave stories with meaningful insights from data, making critical recommendations for colleagues in Engineering and Product Management.
Responsibilities
- Perform analysis utilizing relevant tools (e.g., SQL, R, Python).
- Direct projects that combine analytical 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.
- Address ambiguous or new problems by using the capabilities of existing systems and collaborating to turn broad problems into work for the team.
- Oversee the integration of cross-functional and cross-organizational project/process timelines, drive improvements and recommendations, and define operational goals and objectives.
- Provide direction and accomplish results through leading/impacting the contributions of others.
Requirements
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 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 plus a Master's degree).
Preferred qualifications
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
Benefits
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $240000 - $334000 (USD) + 25% bonus target + equity + benefits
Pay
US: $240000 - $334000 (USD)
Schedule
N/A
Benefits
N/A