Google is looking to identify opportunities for the company to operate more efficiently, from enhancing advertising efficacy to improving the understanding of user behavior, by using data to solve thorny business challenges.
Requirements
- coding (e.g., Python, R, SQL)
- querying databases
- statistical analysis
- analyzing machine learning model performance
- working on LLMs
Responsibilities
- Develop metrics to track and evaluate solution deployment across teams.
- Create dashboards and tools to automate processes, generate reports, and guide product decisions.
- Curate and validate data to ensure quality standards are met.
- Work on multiple projects concurrently, developing datasets, analyses, models, and methods to support and verify the impact of recommendations.
Other
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 4 years of experience using analytics to solve product or business problems.
- 6 years of experience using analytics to solve product or business problems.
- Collaborate with stakeholders to understand the domain, business goals, and data infrastructure context.
- Persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
