Senior Reliability Analytics Data Scientist & AI Tools

Google; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Google is seeking a senior Reliability Analytics scientist to design statistical and machine learning tools that improve Platform Reliability Engineering. You will influence engineering roadmaps and work on change supervision and rollouts across Google Cloud Platform.

In partnership with engineering and product teams, you will build robust data pipelines, apply analytics to complex reliability challenges, and drive data-driven decisions that enhance user experience on Google's services.

Qualifications

• Master's degree in a quantitative field or related discipline.
• 5 years analytics experience or 3 years with PhD; coding in Python/SQL.
• Experience with statistical modeling and generative AI.
• Familiarity with data pipelines and reliability-focused analysis.

Responsibilities

• Design statistical and ML tools for reliability across platforms.
• Build investigative data pipelines for integration into infrastructure.
• Collaborate with engineering and product teams to set roadmaps.
• Influence engineering priorities and support change supervision.
• Contribute to data science initiatives and learning forums.

Skills

Analytics

Python

SQL

Statistical modeling

Generative AI

Education

Master's degree in a quantitative field

Tools

Python

SQL

Cloud computing

Job description

Google is seeking a senior Reliability Analytics scientist to design statistical and machine learning tools that improve Platform Reliability Engineering. You will influence engineering roadmaps and work on change supervision and rollouts across Google Cloud Platform.

In partnership with engineering and product teams, you will build robust data pipelines, apply analytics to complex reliability challenges, and drive data-driven decisions that enhance user experience on Google's services.