Data Scientist, Research, Reliability Analytics

Requirements

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or related quantitative field
• 3 years of work experience using analytics for product or business problem-solving
• Experience with Python, SQL, and statistical modeling
• Experience working with generative AI agents

Nice to Haves

• PhD degree in a related quantitative field
• 5 years of work experience in analytics and coding
• Experience in software development and source control methodologies
• Experience working with cloud or distributed computing environments
• Ability to build investigative tools and data pipelines for infrastructure integration
• Record of influencing engineering priorities and roadmaps

What You'll Be Doing

• Designing and building statistical, machine learning, and AI tools
• Applying data science to improve Google Cloud Platform reliability
• Collaborating with engineering and product teams
• Gaining deep knowledge of relevant engineering infrastructure
• Contributing to team-wide learning forums and data science initiatives

Perks and Benefits

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English proficiency is a requirement for all roles at Google unless stated otherwise in the job posting.