20 publicaciones de empleo destacadas de machine learning platform engineer en iztacalco, cdmx (¡Están contratando!)

Data Analytics Analyst
Ford Motor Company —Naucalpan, Méx.
- Microsoft Excel
- Informática
- Experiencia en ventas
Solution Manager
Imubit —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Licenciatura
- Mejora continua
AI Engineer
Darwin AI —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- Python
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Cloud Engineer
Luxoft —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
Principal AI Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Business Development Manager
Kutir Tech —Ciudad de México, CDMX
- $70,000 a $90,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Bilingüe
- Azure
- Administración de personal
- Trabajo desde casa
Postulación rápida
13d
IOT Software Applications Engineer
Qualcomm —Ciudad de México, CDMX
- Informática
- Maestría
- C++
5d
Oracle ERP Systems Engineer
Wisefind —Ciudad de México, CDMX
- Home Office (Desde casa)
- Oracle
- ERP systems
- Inglés
Postulación rápida
9d
Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
Data Scientist - Life Sciences AI / ML
Zifo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Doctorado
- Inglés
- Maestría
Postulación rápida
Sr Data Scientist
PRGX Global, Inc —Colonia Lomas de Chapultepec, CDMX
- Tiempo completo
- Azure
- Informática
- Inglés
Postulación rápida
AI Engineer
Ford Motor Company —Ciudad de México, CDMX
- Informática
- Maestría
- Licenciatura
Senior Software Engineer
Zendesk —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Senior C++ Systems Engineer – Windows Platform
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- C++
- Desarrollo de software
- Seguro de vida
Senior Artificial Intelligence DevOps Engineer
Cotiviti —Ciudad de México, CDMX
- Tiempo completo
- Bilingüe
- Azure
- Informática
Customer Engineer, Public Sector
Google —Ciudad de México, CDMX
- Inglés
- Licenciatura
- Sin título de educación superior
13d
Software Development Advisor
NTT Ltd —Ciudad de México, CDMX
- Azure
- Administración de personal
- Informática
Software Engineer Intern
Arkham Technologies —Ciudad de México, CDMX
- Trabajo híbrido
- Informática
- SQL
- Licenciatura
Postulación rápida
Mobile Security Engineer
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Licenciatura
- Sin título de educación superior
- Seguro dental
- Seguro de la vista

Quiero recibir la alerta de empleo más reciente para machine learning platform engineer en iztacalco, cdmx

Al ingresar a tu cuenta, aceptas las Condiciones del servicio de SimplyHired y das tu consentimiento a nuestra Política de privacidad y Cookies.

Data Analytics Analyst

Ford Motor Company -
Naucalpan, Méx.

Postúlate ahora

Información del empleo

Cualificaciones

Looker
Power BI
Microsoft Excel
Estadísticas
Informática
Experiencia en ventas
SAS
R
Análisis de negocios
Matemáticas
Google Cloud Platform
Maestría
Algoritmos
SQL
Licenciatura
Recolección de datos
Visualización de datos
Negocios
Python
Ciencia de los datos

Descripción completa del empleo

Job ID

65597

Category

Marketing & Sales

Location

Naucalpan de Juárez, Mexico

Work Type

Hybrid

Our Marketing, Sales & Service organization advances the Ford reputation as a visionary vehicle and mobility services company and helps deliver a trusted customer experience. Use your marketing, sales and service expertise to turn data-driven insights into innovative solutions that enhance sales and customer loyalty. Join us and be the eyes, ears and voice of Ford.

Are you ready to unlock the power of data to revolutionize how we support our customers and optimize our global operations? As a Data Analyst, you will work at the intersection of business strategy and advanced analytics, translating complex datasets into predictive insights and automated decision-making frameworks. Your work will directly empower leadership and cross-functional partners to make smarter, faster, and more proactive decisions that drive operational excellence and shape the future of our customer experience.

What You’ll Do:

Partner with data scientists, business owners, and database developers to formulate business problems, design analytical models, and deploy data-driven solutions.
Build, validate, and optimize predictive and statistical models to uncover trends, conduct A/B testing, and enable precise audience segmentation.
Create and publish automated reports, metrics, and visual dashboards using industry-standard tools (such as Power BI and Looker) to provide actionable insights to stakeholders.
Proactively identify, troubleshoot, and resolve data anomalies or quality issues by collaborating with technical and business platform owners.
Continuously evaluate data collection methods, reporting workflows, and delivery systems to improve efficiency, accuracy, and overall business value.
Synthesize sophisticated datasets and analytical findings into clear, compelling presentations and strategic recommendations for non-technical leadership.

You'll have...

Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Management Information Systems, or a related quantitative field, or equivalent practical experience.

Experience: Typically 3 or more years of professional experience in data, statistical, or business analysis.

Technical Skills: Strong proficiency in SQL (writing complex queries) and programming languages like Python, R, or SAS for data manipulation and analysis.

Cloud & Visualization Tools: Hands-on experience working within cloud environments (such as Google Cloud Platform/GCP) and utilizing data visualization platforms (e.g., Power BI, Looker, Microsoft Excel).

Analytical Capabilities: Solid understanding of statistical testing methodologies, A/B testing, and managing large, complex data structures.

Even better, you may have...

Master’s degree in Data Science, Business Analytics, Statistics, or a related field.

Professional certifications in cloud data analytics (e.g., Google Cloud Certified Professional Data Engineer) or data visualization (e.g., Microsoft Certified: Power BI Data Analyst).

Experience working in large-scale, global operations, customer service, or supply chain environments.

Familiarity with machine learning algorithms and advanced predictive modeling techniques.

Ford of Mexico is committed to being an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, pregnancy, veteran status, or disability status.

Our focus is to build the best team. If you think you can bring value to Ford, love to collaborate, prioritize and aim to deliver excellence in everything you do, we encourage you to apply!

We thank all candidates for their interest, but only those selected for an interview will be contacted.

#LI-KV1

Postúlate ahora

Refina tu búsqueda

machine learning platform engineer empleos en iztacalco, cdmx

Data Analytics Analyst

Solution Manager

AI Engineer

Cloud Engineer

Senior AI Engineer

Principal AI Engineer

Business Development Manager

IOT Software Applications Engineer

Oracle ERP Systems Engineer

Data Engineer - Databricks

Data Scientist - Life Sciences AI / ML

Sr Data Scientist

AI Engineer

Senior Software Engineer

Senior C++ Systems Engineer – Windows Platform

Senior Artificial Intelligence DevOps Engineer

Customer Engineer, Public Sector

Software Development Advisor

Software Engineer Intern

Mobile Security Engineer

Quiero recibir la alerta de empleo más reciente para machine learning platform engineer en iztacalco, cdmx

Related Searches

Herramientas para candidatos

Herramientas para empresas

Explorar

Mantente conectado