Senior Data Scientist, Research, Reliability Analytics

Senior Data Scientist, Research, Reliability Analytics Overview

The Reliability Analytics Team at Google is dedicated to enhancing decision-making and systems within Platform Reliability Engineering (PRE) through the application of data science. This role focuses on addressing a variety of reliability challenges by leveraging data-driven methodologies, combining subject matter expertise with statistical, predictive, and generative AI/ML techniques to significantly improve reliability for Google’s users and customers.

As a Senior Data Scientist, you will be responsible for designing and building statistical and machine learning tools, which will directly influence engineering priorities and roadmaps in critical areas such as software rollouts and change management. You will gain deep insights into relevant engineering infrastructure and data assets, enabling you to tackle complex issues that affect Google Cloud Platform reliability.

Responsibilities

• Design and develop statistical, machine learning, and AI tools, along with investigative data pipelines for integration into existing or new reliability infrastructure.
• Utilize data science methodologies to enhance the reliability of Google Cloud Platform in collaboration with the Platform Reliability Engineering (PRE) team, focusing on change supervision and software rollouts.
• Work closely with engineering and product teams to create and refine reliability tools based on engineering priorities.
• Acquire in-depth knowledge of relevant engineering infrastructure and data assets to effectively influence engineering roadmaps and priorities.
• Participate in team-wide learning forums and contribute to broader data science initiatives.

Requirements

• Possess a Master’s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative discipline.
• Have at least 5 years of professional experience applying analytics to resolve product or business challenges, including coding in languages such as Python, R, and SQL, as well as querying databases or performing statistical analysis; or 3 years of experience with a PhD.
• Demonstrate experience with Python, SQL, and statistical modeling.
• Have experience working with generative AI agents.
• Preferred: 8 years of experience in analytics for product or business problem-solving, or 6 years with a PhD, along with experience in software development and source control methodologies.
• Experience in cloud computing or distributed computing environments is advantageous.
• Show a proven ability to develop investigative tools and data pipelines for infrastructure integration.
• Exhibit a successful track record of influencing engineering priorities and roadmaps.

Google is proud to be an equal opportunity and affirmative action employer, committed to building a diverse workforce that reflects the users we serve. We provide equal employment opportunities regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related conditions, or any other basis protected by law.

Degree Requirement: Not Specified

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