Google is looking to hire Data Scientists to evaluate and improve Google's products by bringing scientific and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of the end user.
Requirements
- coding (e.g., Python, R, SQL)
- querying databases
- statistical analysis
Responsibilities
- 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).
- Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
- 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.
- Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
Other
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 3 years of work experience using analytics to solve product or business problems
- 5 years of work experience using analytics to solve product or business problems
- PhD degree
- Mountain View, CA, USA; New York, NY, USA
