The mission of Cloud Supply Chain Operations (CSCO) Data Science team is to improve CSCO efficiency through applied machine learning and prescriptive insights. Efficiency could come in the form of cost-savings, reduced cycle time, reduced toil on GSO users, and improved supply/demand predictability. Our data science modeling and analytics work also focuses on projects that increase satisfaction of the users across GSO, elevate our measurement capabilities, improve key business metrics. We recently inherited broader scope to support end-to-end supply chain and operations managed by Cloud Supply Chain and Operations organization. In this role, you will craft prescriptive insights, follow through to ensure recommendations are being implemented, and analysis informs a business and/or product change.
Develop machine learning, statistical, and optimization models to improve supply chain and operations efficiency. Deliver difficult analytical problems with initial guidance structuring approach and conduct exploratory data analyses, inform model design, and development.
Analyze users, usage, trends and relevant dimensions, providing insights on changing dynamics. Prioritize multiple projects and refine timelines with stakeholders.
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.