Senior Data Scientist, Research Cloud

Google

5 - 7 years

Bengaluru

Posted: 26/10/2025

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Job Description

Minimum qualifications:

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field or equivalent practical experience.
5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of experience with a PhD degree.

Preferred qualifications:

8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree.
Experience with data, metrics, analysis and trends with the knowledge of measurement, statistics and program evaluation.
Ability to learn about Supply Chain Operations.
Excellent problem-solving and business judgment skills.

About the job

The Cloud Supply Chain Data (CSCD) Data Science and Product team build productivity and data products, develop Artificial Intelligence (AI)/Machine Learning (ML)/statistical models and provide insights to help Cloud Supply Chain and Operations (CSCO) define and achieve business goals.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities

Develop machine learning and statistical models to detect anomalies, forecast trends, classify patterns and optimize processes in Google Cloud Supply Chain and Operations.
Deliver investigative problems with guidance structuring approach and conduct exploratory data analysis, inform model design, and development.
Plan and execute prioritized project work, including selecting appropriate methods and advising on opportunities to improve data infrastructure. Identify and recommend ways to improve solutions to problems by selecting better methods or tools.
Identify issues with scope, data, or approach. Escalate issues to be addressed by stakeholders and communicate, present insights, and recommend actions to stakeholders.

About Company

Google is a multinational technology company founded in 1998 by Larry Page and Sergey Brin. It is best known for its search engine but also develops products and services in areas like online advertising (Google Ads), cloud computing (Google Cloud), operating systems (Android, Chrome OS), web browsers (Chrome), and consumer electronics (Pixel devices, Nest). Google is a subsidiary of Alphabet Inc., its parent company formed in 2015. It plays a major role in shaping the internet, AI, and digital innovation globally.