The Search Platform Data Science team at Google aims to understand and measure Search systems to optimize their effectiveness, efficiency, and interactions with other Google systems, ultimately improving user experience and business outcomes.
Requirements
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 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.
- Experience articulating business questions and using mathematical techniques to arrive at an answer using available data.
- Experience translating analysis results into business recommendations.
- Ability to select the most appropriate statistical tools for a given data analysis problem.
- Outstanding written and verbal communication.
Responsibilities
- Work with data sets, solve difficult, non-routine analysis problems, applying advanced problem-solving 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 comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both products development and business activity.
- Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design, and assess improvements to Google products.
- Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Partner with engineering and product teams in Search Platforms on system-level optimizations.
- Collaborate closely with Search verticals and horizontal teams, Site Reliability Engineering (SREs), Core to understand the impact of system changes on user experience and on Google business.
- Define and develop system metrics to understand how effective and efficient systems are and how they interact with each other.
Other
- Master's degree in a quantitative field.
- PhD degree (3 years of work experience required with PhD).
- Preferred location selection from Cambridge, MA, USA; Mountain View, CA, USA.
- Ability to work cross-functionally with a wide variety of people and teams.
- Effective presentations of findings at multiple levels of stakeholders.
