20 publicaciones de empleo destacadas de cloud engineer en monterrey, nle (¡Están contratando!)

(CEN) DATA SCIENTIST PROCUREMENT
CEMEX —Monterrey, N. L.
- Informática
- Maestría
- SQL
Senior Backend Engineer
Amalga Group SA de CV —Monterrey, N. L.
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Licenciatura
- JavaScript
Postulación rápida
Senior Cloud Platform Engineer (w/m/d)
Dematic Logistics de Mexico S. de R.L. de C.V. —Guadalupe, N. L.
- Tiempo completo
- Azure
- DevOps
- Inglés
Test Automation Engineer QA
GM Financial —Monterrey, N. L.
- Tiempo completo
- Azure
- Informática
- DevOps
07 - Engineer, Manufacturing Process 1
Celestica —Apodaca, N. L.
- Licenciatura
- Disponible para viajar
2d
Cybersecurity Engineer
NOV Inc. —Monterrey, N. L.
- Tiempo completo
- Azure
- Informática
- Inglés
Data Engineer (GCP) – Data & Analytics
Northware —Apodaca, N. L.
- Tiempo completo
- Ingeniería
- Inglés
- SQL
Senior Technical Architect
GM Financial —Monterrey, N. L.
- Tiempo completo
- Azure
- Salesforce
- Servicios financieros
- Seguro de vida
Database Engineer (Mexico)
MSIGHTS —Monterrey, N. L.
- Tiempo completo
- Inglés
- Experiencia en bases de datos
- SQL
Postulación rápida
Databricks Data Engineer
Accenture —Monterrey, N. L.
- Tiempo completo
- Azure
- DevOps
- Java
Platform Engineer
GM Financial —Monterrey, N. L.
- Tiempo completo
- Azure
- Oracle
- DevOps
Data Architect
DataArt —Monterrey, N. L.
- Oracle
- Administración de personal
- SQL
Cybersecurity IAM Engineer
NOV Inc. —Monterrey, N. L.
- Tiempo completo
- Azure
- Administración de personal
- Inglés
Junior Full-Stack Java Developer – Contact Center Technologies
Sutherland —Monterrey, N. L.
- Azure
- Administración de personal
- Inglés
5d
Sr. Embedded Software Engineer
Carrier —Santa Catarina, N. L.
- Tiempo completo
- Maestría
- C++
- Licenciatura
8d
DevOps/ Site Reliability Engineer
Dematic Logistics de Mexico S. de R.L. de C.V. —Guadalupe, N. L.
- Azure
- DevOps
- Java
Data Eng, Mgmt & Governance Specialist
Accenture —Monterrey, N. L.
- Tiempo completo
- SQL
- Habilidades de comunicación
- Python
Especialista en Administración de Bases de Datos (DBA Multi-Engine)
serec consulting —Monterrey, N. L.
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- DevOps
Postulación rápida
4d
Senior Software Developer - Full Stack Developer
Daktronics —Monterrey, N. L.
- Tiempo completo
- Azure
- Informática
- DevOps
Senior Manager Engineering
CXCENTRODECONTACTO —Monterrey, N. L.
- Correo electrónico
- Azure
- Administración de personal
- DevOps
Postulación rápida

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(CEN) DATA SCIENTIST PROCUREMENT

CEMEX -
Monterrey, N. L.

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Información del empleo

Cualificaciones

Estadísticas
Informática
Maestría
SQL
Licenciatura
Python
Ciencia de los datos

Descripción completa del empleo

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 actionable business insights.
Developing predictive and AI-driven solutions that remain interpretable and useful for procurement stakeholders.
Collaborating effectively across technical teams (data engineering, analytics) and procurement business teams.
Identifying high-value opportunities where advanced analytics and AI can improve procurement decision-making.
Managing evolving analytical requirements in a rapidly changing digital and AI landscape.

Qualifications

Languages

English: Advanced.

Academic Background

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, Artificial Intelligence, or related analytical fields.

Areas of Expertise

Experience in data science, full-stack development, machine learning, or advanced analytics roles supporting business decision-making (3-6 y)
Experience developing predictive models, statistical analysis, and machine learning applications using large and complex datasets.
Experience applying analytics or AI solutions to operational or business decision processes.

Technical Skills

Strong programming skills in Python and experience working with analytical libraries for data science and machine learning.
Experience applying machine learning, statistical modeling, and predictive analytics techniques to real-world business problems.
Advanced SQL skills for data manipulation and analysis of large transactional datasets.
Experience developing AI-enabled analytical solutions, including the use of large language models (LLMs), retrieval-augmented generation (RAG), and AI agents or multi-agent workflows to automate analytical tasks or decision-support processes.
Familiarity with modern data platforms and analytics environments (e.g., cloud data warehouses, data lakes, or similar analytical infrastructures).

Soft Skills

Strong analytical thinking and structured problem-solving capabilities.
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.

Internal/External Relations

INTERNAL:

Global Procurement Leadership
Regional Procurement Organizations
Procurement Analytics & Product Teams
Enterprise Data Engineering and Data Architecture teams
IT / P&IT Data Platform teams

EXTERNAL:

Data platform vendors and technology partners
Data and analytics consultants supporting enterprise initiatives
Mckinsey

CEMEX Diversity and Inclusion Statement

At CEMEX, we recognize the diversity of the world in which we live and in which we do business. We respect diversity, we address the inclusion and non-discrimination of any talented person, regardless of gender, physical ability, age, sexual orientation, culture, ethnicity, religion, political affiliation, marital status, pregnancy / maternity / paternity and nationality. We promote a culture of equity for the construction of a sustainable business and the well-being and development of CEMEX employees.

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cloud engineer empleos en monterrey, nle

(CEN) DATA SCIENTIST PROCUREMENT

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