Staff Data Scientist, Research, Applied Research
Description For Staff Data Scientist, Research, Applied Research
Google is seeking a Staff Data Scientist to join their Research and Applied Research team, focusing on developing metrics, methodologies, and tools for Search and Commerce initiatives. This role offers an opportunity to impact billions of users globally through Google Search's evolution. The position requires advanced analytical skills, with 8+ years of experience in data science and analytics, or 6+ years with a PhD. The role involves collaborating with cross-functional teams, designing sophisticated mathematical models, and implementing data-driven solutions using Python, R, and SQL. The successful candidate will work on complex engineering challenges while maintaining Google's mission of universal accessibility. Located in Mountain View, CA, this position offers competitive compensation ($177,000-$266,000) plus bonus, equity, and comprehensive benefits. The role combines technical expertise with strategic thinking to drive innovation in search technology and commerce solutions.
Responsibilities For Staff Data Scientist, Research, Applied Research
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer
- Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models
- Use custom data infrastructure or existing data models as appropriate, using knowledge
- Design and evaluate models to mathematically express and solve defined problems with limited precedent
- Gather information, business goals, priorities, and organizational context around the questions to answer
- Own the process of gathering, extracting, and compiling data across sources via relevant tools
- Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis
Requirements For Staff Data Scientist, Research, Applied Research
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field or equivalent practical experience
- 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree
- 3 years of work experience in end-user facing experimentation design
Benefits For Staff Data Scientist, Research, Applied Research
- bonus
- equity
- benefits
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