Data Scientist, Reliability Analytics & AI Tools

Google

Greater London

On-site

GBP 100,000 - 150,000

Full time

2 days ago

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Job summary

Google's Reliability Analytics Team in London seeks a data-focused professional to design statistical and ML tools that improve platform reliability. You will build investigative data pipelines and influence engineering roadmaps by applying analytics to software rollouts and change management.

You will collaborate with Platform Reliability Engineering to deliver scalable solutions, work across product and engineering teams, and push data-driven decisions that enhance user experience and system

Qualifications

Master's degree in a quantitative field.
3 years analytics experience or PhD.
Experience with Python, SQL, and statistical modeling.
Experience with generative AI agents.

Responsibilities

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