(CEN) DATA SCIENTIST PROCUREMENT
On-site · Nuevo León, Mexico
Job Summary
Data Scientist for Procurement enables predictive insights and AI-driven procurement analytics. Develops predictive models and AI-enabled solutions to support sourcing strategies, supplier risk monitoring, spend optimization, and procurement performance management. Partners with data engineers and procurement analytics product teams to operationalize models into dashboards and decision-support tools; designs agent-based AI workflows for automated analytical tasks; explores multi-agent solutions, simulations, and scalable analytics to enhance procurement intelligence. Must apply statistical analysis and ML techniques to procurement datasets (spend, supplier performance, inventory), collaborate across data engineering, analytics, and procurement stakeholders, and continuously refine models for accuracy and business relevance.
Required Qualifications
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, Artificial Intelligence, or related analytical fields
- 3-6 years of experience in data science, full-stack development, machine learning, or advanced analytics roles supporting business decision-making
- Experience developing predictive models, statistical analysis, and machine learning applications using large and complex datasets
- Strong programming skills in Python and experience with analytical libraries for data science and machine learning
- Advanced SQL skills for data manipulation and analysis of large transactional datasets
- Experience applying analytics or AI solutions to operational or business decision processes
- Experience developing AI-enabled analytical solutions including LLMs, retrieval-augmented generation (RAG), and AI agents or multi-agent workflows
- Familiarity with modern data platforms and analytics environments (cloud data warehouses, data lakes)
- Ability to translate complex analytical outputs into clear insights for business stakeholders
- Effective collaboration with both technical teams (data engineering, analytics) and procurement stakeholders
- Curiosity and experimentation mindset with interest in emerging analytics and AI technologies
- English: Advanced
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