Senior Data Scientist, Reliability Analytics – Google

ABOUT THE JOB The Reliability Analytics Team is on a mission to improve decisions and systems within Platform Reliability Engineering (PRE) through data science. We apply statistical, predictive, and generative AI/ML methods to reliability problems that matter to Google’s users and customers.

In this role, you will design statistical and machine learning tools and develop investigative data pipelines for integration into existing or new reliability infrastructure. You will influence engineering priorities and roadmaps in areas such as software rollouts and change management and will have a direct impact on Google Cloud Platform reliability. You will gain deep knowledge of relevant engineering infrastructure and data assets to solve complex issues.

RESPONSIBILITIES - Design and build statistical, machine learning, and AI tools, alongside investigative data pipelines, for integration into 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 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 roadmaps and priorities. - Contribute to team-wide learning forums and broader data science initiatives.

Senior Data Scientist, Reliability Analytics – Google

ABOUT THE JOB The Reliability Analytics Team is on a mission to improve decisions and systems within Platform Reliability Engineering (PRE) through data science. We apply statistical, predictive, and generative AI/ML methods to reliability problems that matter to Google’s users and customers.

In this role, you will design statistical and machine learning tools and develop investigative data pipelines for integration into existing or new reliability infrastructure. You will influence engineering priorities and roadmaps in areas such as software rollouts and change management and will have a direct impact on Google Cloud Platform reliability. You will gain deep knowledge of relevant engineering infrastructure and data assets to solve complex issues.

RESPONSIBILITIES - Design and build statistical, machine learning, and AI tools, alongside investigative data pipelines, for integration into 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 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 roadmaps and priorities. - Contribute to team-wide learning forums and broader data science initiatives.