Senior Data Scientist - Cloud Supply Chain Operations

Senior Data Scientist, Research, Cloud Supply Chain Operations

Minimum qualifications:

• Master's degree in statistics, data science, mathematics, physics, economics, operations research, engineering, a related quantitative field, or equivalent practical experience.
• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD.

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 work experience with a PhD.
• Excellent problem-solving skills, with the ability to manage statistically driven analysis and approaches based on the need of problems.
• Excellent verbal and written communication skills, with the ability to articulate concepts to both technical and non-technical stakeholders.
• Interest in data, metrics, analysis, and trends, with knowledge of measurement, statistics, and program evaluation.

About the job

The team's mission is to build productivity and data products, develop AI/ML statistical models and provide prescriptive insights to help cloud supply chain and operations (CSCO) define and achieve business goals. The team helps make Google Cloud supply chain and data centers enable data-informed decision making and product innovation. The team pursues high-impact forecasting, anomaly detection, generative AI, automation, and statistical modeling opportunities.

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 analytical problems with initial guidance structuring approach and conduct exploratory data analyses, 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 via selecting better methods/tools.
• Identify issues with scope, data, or approach. Escalate issues to be addressed by stakeholders and communicate, present insights, and recommend actions to stakeholders.

Experience Level

Senior Level