Google's Discover team aims to help users find answers and proactively discover new information, stay up-to-date, and expand their knowledge. The Discover DS Personalization and Quality team partners cross-functionally to solve this mission with a data-informed strategy, identifying opportunities and accelerating execution.
Requirements
- coding (e.g., Python, R, SQL)
- querying databases
- statistical analysis
Responsibilities
- Work with large, complex data sets and solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
- Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Develop a comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both product development and business strategy.
- Define metrics and measurement techniques, assessing applicability and making recommendations on the use of these techniques and on the interpretation of results.
- Interact cross-functionally with SWE, PM, and UXR partners.
- Work closely with engineers to identify opportunities for design and assess improvements to our products.
- Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
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, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
- Ability to clearly explain stats or domain knowledge to people not familiar with the subject matter or who lack a quantitative background.
- Ability to collaborate cross-functionally and work effectively within a distributed team.
- Strong communication skills.
- Excellent collaboration skills.
