Reliability Analytics Scientist for Cloud Rollouts

GOOGLE; City Of London; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

Google seeks a Reliability Analytics Engineer to advance data-driven decisions across Platform Reliability Engineering. You will design statistical and ML tools and build investigative data pipelines to support reliability initiatives and change management.

You will work with engineers and product teams to shape roadmaps, leverage data assets, and apply advanced analytics to improve Google Cloud Platform reliability and performance.

Qualifications

• 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.
• Experience with Python, SQL, and statistical modeling.
• Experience working with generative AI agents.

Responsibilities

• Design and build statistical, machine learning, and AI tools, alongside investigative data pipelines, for integration into existing or new reliability infrastructure.
• Apply data science to improve Google Cloud Platform reliability in partnership with the Platform Reliability Engineering (PRE) organization, focusing on change supervision and rollouts.
• Collaborate closely with engineering and product teams to build and improve reliability tools according to engineering priorities.
• Gain deep knowledge of relevant engineering infrastructure and data assets to influence engineering roadmaps and priorities.
• Contribute to team-wide learning forums and broader data science initiatives.

Skills

Python

SQL

Statistics

Data Science

Generative AI

Education

Master's degree in quantitative field

Tools

Git

Cloud computing

Job description

Google seeks a Reliability Analytics Engineer to advance data-driven decisions across Platform Reliability Engineering. You will design statistical and ML tools and build investigative data pipelines to support reliability initiatives and change management.

You will work with engineers and product teams to shape roadmaps, leverage data assets, and apply advanced analytics to improve Google Cloud Platform reliability and performance.