Additional Information Firma FedEx poważnie podchodzi do filozofii, która stawia pracowników na pierwszym miejscu. Want to use Data and AI to transform general trade at one of the world's largest logistics companies?
Join FedEx Global Trade Services (GTS) as a Data Scientist and apply advanced analytics, machine learning, and AI to solve complex business challenges, drive strategic decisions, automate manual processes, and shape the future of our Data & AI transformation.
Want to use Data and AI to transform global trade at one of the world's largest logistics companies?
Join FedEx Global Trade Services (GTS) as a Data Scientist and apply advanced analytics, machine learning, and AI to solve complex business challenges, drive strategic decisions, automate manual processes, and shape the future of our Data & AI transformation.
FedEx is the largest express transportation company in the world, connecting more than 220 countries and territories. We love what we do, and we do it well. Drive Data-Driven Decision Making:




Develop actionable insights that support strategic and operational decision-making across Global Trade Services.
Create predictive and prescriptive analytics solutions that improve productivity, service performance, and trade compliance.
Design, build, and deploy machine learning and AI models that address critical business challenges.
Facilitate data-driven discussions and influence stakeholders through compelling insights and storytelling.
Support the development of the Global Trade Services Data & AI roadmap.
Build The Future Data & AI Capability
Help establish best practices in data science, experimentation, model governance, and responsible AI.
Contribute to building a data-centric culture by promoting data literacy and analytical thinking across the organization.
Stay abreast of emerging technologies and industry trends in AI, analytics, and global trade.
Master's degree or equivalent experience in Data Science, Statistics, Mathematics, Computer Scien

📌 Marketing Data Scientist (Madrid)
🏢 Fedex
📍 Madrid