Senior Data Scientist Manager, Product
Description For Senior Data Scientist Manager, Product
Google is seeking a Senior Data Scientist Manager for their Product team. This role combines technical expertise with leadership skills to drive data-driven decision-making across the organization. The ideal candidate will have a strong background in statistics, mathematics, or a related quantitative field, with extensive experience in analytics, statistical analysis, and coding. They will lead projects from conception to implementation, addressing complex problems and presenting insights to stakeholders. The role involves managing and mentoring a team, overseeing cross-functional projects, and contributing to Google's mission of serving its billion-plus user base. This position offers a competitive salary range of $214,000-$305,000, plus bonus, equity, and benefits, reflecting Google's commitment to attracting top talent in the data science field. The successful candidate will play a crucial role in shaping product strategies and driving innovation at one of the world's leading technology companies.
Responsibilities For Senior Data Scientist Manager, Product
- 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 collaborate to turn broad problems into work for the team
- Oversee the integration of cross-functional/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 For Senior Data Scientist Manager, Product
- 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 of work experience with a Master's degree)
- 5 years of experience as a people manager within a technical leadership role
Benefits For Senior Data Scientist Manager, Product
- Bonus
- Equity
- Benefits package
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