Job Description

The Data Scientist develops advanced analytics, machine learning models, and AI-driven solutions that enable predictive insights and intelligent decision-making across procurement. The role transforms procurement data into analytical capabilities that support sourcing strategies, supplier risk monitoring, spend optimization, and procurement performance management.

Working closely with data engineering and analytics product teams, this position designs and deploys analytical models and AI-enabled solutions that leverage procurement data to generate scalable insights. The role also contributes to the development of agent-based AI solutions that automate analytical workflows and enhance procurement intelligence.

Main Responsibilities
- Develop predictive models, simulations, and advanced analytics supporting procurement decision-making, supplier risk monitoring, and sourcing strategies
- Apply statistical analysis and machine learning techniques to identify patterns, risks, and opportunities within procurement datasets such as spend, supplier performance,



and inventory information.
- Design and develop AI-driven analytical solutions, including intelligent agents and multi-agent workflows that automate procurement intelligence activities such as supplier analysis, risk detection, and decision support.
- Prototype and deploy advanced analytics and AI use cases that enhance procurement insights and strategic decision-making.
- Collaborate with data engineers to access, structure, and prepare procurement datasets required for analytical modeling and AI applications.
- Partner with procurement analytics product teams to operationalize models and AI capabilities into dashboards, decision-support tools, and analytical applications.
- Monitor and continuously improve analytical models and AI solutions to ensure accuracy, reliability, and business relevance.

Position Challenges
- Translating complex procurement data into analytical models that generate actio

📌 (Cen) Data Scientist Procurement (México)
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📍 México