Data Scientist - Cloud and Supply Chain Analytics

Data Scientist, Research Cloud

Minimum qualifications:

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

Preferred qualifications:

• 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 a PhD.
• Excellent problem solving skills, with the ability and interest to learn about supply chain operations.
• Interest in data, metrics, analysis and trends, and applied knowledge of measurement, statistics and program evaluation.

About the job

In this role, you will develop AI, ML, statistical models, and provide prescriptive insights to help CSCO define and achieve business goals. The team pursues high-impact forecasting, anomaly detection, GenAI, 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

Mid Level