Evaluate and improve the Google Search user experience by addressing challenges in generative AI evaluation, measuring quality, developing metrics, and improving training data for model development.
Requirements
- coding (e.g., Python, R, SQL)
- querying databases
- statistical analysis
- using analytics to solve product or business problems
- Experience working on 0 to 1 products.
- Experience working with eval data.
Responsibilities
- Work with data sets, solve non-routine analysis problems, apply analytical methods as needed, conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Build and prototype analysis pipelines iteratively to provide insights at scale, develop knowledge of Google data structures and metrics, advocating for changes where needed for both products development and business strategy.
- Interact cross-functionally with a wide variety of people and teams, and work with engineers to identify opportunities for design, and assess improvements to Google products.
- Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Research and develop analysis methods to improve the quality of Google Search.
- Use available data sources to bring analytical and statistical methods to the challenges of measuring quality, developing metrics, and improving training data for model development.
- Work with engineers and researchers to analyze/interpret data, develop metrics, and integrate new methodologies into existing evaluation systems.
Other
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
- 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.
- 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
- collaborates cross-functionally.
- work with engineers, researchers, and product managers within and outside of Search
