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Senior Data Scientist – AI Data
| Company | Google |
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| Location | Sunnyvale, CA, USA |
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| Salary | $166000 – $244000 |
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| Type | Full-Time |
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| Degrees | Master’s |
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| Experience Level | Senior |
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Requirements
- Master’s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
Responsibilities
- Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, cleaning and curation, analysis, visualization, ongoing deliverables, and presentations.
- Share/present analysis to relevant stakeholders and organization executives in order to share insights, influence product direction, and answer difficult questions regarding data quality measurement and impact on model performance.
- Build and prototype analysis pipelines iteratively to provide insights at scale. Work closely with product teams to incorporate important analysis into existing framework and tools.
- Interact cross-functionally with a wide variety of product and model teams. Work closely with engineers to identify opportunities for, design, and assess improvements of data quality and model performance.
Preferred Qualifications
- 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.
Benefits
No information provided on Benefits.
