Google is looking to solve the problem of improving developer productivity and AI opportunities by applying statistical aptitude and data science to understand and address the most significant hurdles faced by software engineers.
Requirements
- 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, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
- PhD degree in Statistics, Math, Computer Science, Engineering, or related quantitative fields or Master's degree with 3 years of experience in quantitative areas.
- Experience in experiments (e.g., design of experiments, experiment logging, multiple hypothesis testing, causal inference).
- Experience working in a development lifecycle, defining requirements, checking in code, testing, staging, production.
Responsibilities
- Collaborate with engineering teams to instrument and gather high-quality data, laying the groundwork for understanding and enhancing AI products and developer productivity.
- Perform deep analysis of developer processes and issues to pinpoint where AI-driven solutions can deliver the most significant impact.
- Define and track the success of our AI-powered developer tools.
- Move beyond reactive data analysis to discover latent trends, forecast future requirements, and prove the return on investment of our projects.
- Present your discoveries and insights to leadership, guiding data-centric decisions that will define the future of developer tools at Google.
Other
- Master's degree in a related quantitative field.
- 3 years of work experience
- Ability to be collaborative and to build excellent trust and relationships with cross-functional teams.
- Preferred: PhD degree in a related quantitative field.
- Travel requirements not specified, but work location can be in Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY, USA
