Google is looking to evaluate and improve its products by leveraging data science and AI. The Applied AI team specifically aims to shape the future of AI-driven products by developing novel methodologies and solving complex business problems using conversational agents and AI.
Requirements
- coding (e.g., Python, R, SQL)
- querying databases
- statistical analysis
Responsibilities
- Conduct research, develop novel methodologies, and apply expertise to solve complex business problems.
- Collaborate with a team of engineers and scientists to push the boundaries of what's possible with AI.
- Evaluate and improve Google's products.
- Collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems.
- Bring scientific accuracy and statistical methods to the challenges of product creation, development, and improvement with an appreciation for the behaviors of the end user.
- 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.
Other
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 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.
- 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
- 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.
