Skip to content
Senior Data Scientist – Research – Global Networking and Infrastructure
| Company | Google |
|---|
| Location | Atlanta, GA, USA |
|---|
| Salary | $166000 – $244000 |
|---|
| Type | Full-Time |
|---|
| Degrees | Master’s |
|---|
| Experience Level | Senior |
|---|
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.
- Experience in Python or R for data analysis and modeling.
- Experience with shell scripting.
Responsibilities
- 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 specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
- Develop models and analysis using Python, R, SQL, and shell scripts. The output will typically be a document with useful findings or prototype production code.
- Work with engineers to refine analysis and implement prototypes.
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.
