12 publicaciones de empleo destacadas de data scientist , amazon music disco en coacalco méx. (¡Están contratando!)

Ingeniero Senior, Ciencia de Datos
Constellation Brands —Ciudad de México, CDMX
- Tiempo completo
- Informática
- ERP systems
- Inglés
Senior Analyst, Forecasting
DoorDash Mexico —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- SQL
Postulación rápida
5d
Business Intelligence Senior Analyst
Zendesk —Ciudad de México, CDMX
- Tiempo completo
- Análisis de datos
- SQL
- Licenciatura
Java & API Application Support Engineer – AMS
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Oracle
- Informática
- Microsoft Office
AI DI Engineering Manager - Mexico City
ailylabs —Ciudad de México, CDMX
- Experiencia en ventas
- Liderazgo
Postulación rápida
Sr. AI Engineer - Marketing
Sezzle —Ciudad de México, CDMX
- $50,000 a $120,000 por año
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Experiencia en bases de datos
- SQL
Project Manager - Satellite Gateway Infrastructure
AST SpaceMobile —Ciudad de México, CDMX
- Administración de personal
- Inglés
- Licenciatura
8d
Clinical specialist Guadalajara / Medical devices Structural Heart
Abbott Laboratories —Ciudad de México, CDMX
- Tiempo completo
- Disponibilidad para viajar hasta un 50 %
- Hospital
- Salesforce
1d
Senior Implementation Engineer
Urban Science Applications, Inc. —Colonia Polanco, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
ML Ops Engineer S.Sr
Ucloud —Ciudad de México, CDMX
- Python
Postulación rápida
Data Scientist
CIAL D&B Services Inc —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Inglés
- Experiencia en bases de datos
Postulación rápida
Cloud Data Analytics Engineer New
Dotmatics —Ciudad de México, CDMX
- Microsoft Powerpoint
- Microsoft Excel
- Administración de personal
12h

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Ingeniero Senior, Ciencia de Datos

Constellation Brands -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo

Cualificaciones

Modelos de inteligencia artificial
Derecho
Informática
Estructura de datos
ERP systems
Sistema de gestión de almacenes
Sistemas de gestión de información de laboratorio
Inglés
Algoritmos
Licenciatura
Mejora continua
Ingeniería industrial
Experiencia en manufactura
Visualización de datos
Requisitos comerciales
Sensores
Python
Ciencia de los datos

Descripción completa del empleo

Job Description

Ciudad de México

Nivel de estudios

Bachelor’s Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, Industrial Engineering or equivalent. Advanced degree preferred.

Experiencia Requerida

5+ years delivering enterprise-level Data Science solutions

Habilidades

Soft Skills

Team Player: Excellent communication and interpersonal skills, working effectively as part of a team and collaborating with stakeholders across different locations. Ability to tell a story with data. Ability to communicate results of advanced analytics in plain English.
Adaptability: Thrive in a dynamic, fast-paced work environment and adapt quickly to changing business needs.
Attention to Detail: Meticulous attention to detail, ensuring data accuracy and maintaining high-quality standards in all deliverables.

Technical Skills

A minimum of 5 years of professional hands-on experience developing/deploying Enterprise-scale data scicene soluitons
An understanding of cloud infrastructure for Machine Learning/AI ops., e.g., Databricks / AWS Sagemaker
Strong problem-solving skills and the ability to troubleshoot complex data and machine learning related issues
Solid understanding of a variety of machine learning algorithms.
Solid understanding of developing, deploying and gaining value from Gen AI and AI (agentic) agents.
Expert-level proficiency with Python
Hands-on experience with machine learning and generative AI frameworks
Experience deploying machine learning and AI applications in cloud-based solutions (AWS or Databricks).
Strong understanding of database systems, data structures, and data processing techniques.
Familiarity with OPC-UA, MQTT, and industrial automation protocols is a significant advantage
Strong analytical abilities to translate business requirements into technical AI workflows
Experience in a manufacturing or industrial environment preferred

Resumen

The Sr. Data Scientist, Digital Manufacturing uses data from production lines (including sensors), digital frontline worker solutions, and quality control systems to build and deliver advanced analytics, predictive modeling, machine learning, and AI solutions that improve manufacturing performance and reduce cost. The role applies statistical methods, data visualization, generative AI, and AI agents to help teams make data-driven decisions that increase productivity and efficiency, reduce waste, improve product quality, and lower total operating costs. Key focus areas include manufacturing process optimization, predictive maintenance, defect detection, utilities (energy/water) optimization, and process automation. You will be responsible for the entire project life cycle from conception through commissioning of projects that support advanced analytic initiatives.

Responsabilidades

1. Develop and operationally deploy advanced analytic decision support solutions (machine learning, deep learning, generative AI, Agentic agents, etc.) to that incorporate data from disparate manufacturing systems (MES, LIMS, CMMS, WMS, ERP, etc.) to drive process improvement and performance optimization.
2. Collaborate with cross-functional teams (Manufacturing, Operations, R&D, Quality, IT, etc.) to design and implement largescale data-driven solutions. Ensure data quality, integrity, and compliance with model risk standards. Partner with technical and non-technical teams to resolve data gaps, inconsistencies, support validation activities and ensure ROI is derived from
data science activities.
3. Collect, clean, and pre-process large structured and unstructured datasets to ensure they are "model-ready". Preprocess, cleanse, and manage data to ensure accuracy and quality for model input and inference.
4. Conduct Exploratory Data Analysis (EDA) using statistical techniques and data visualization to uncover patterns, relationships, and outliers. Conduct feature engineering and train/test machine learning models for real-time process monitoring/alerting, anomaly detection, quality defects and machine failure prevention/identification. Manage model lifecycle
(data prep, train, test, tune, deploy, monitor performance).
5. Design, build, and deploy AI-powered applications, chatbots, and agents. Implement Retrieval-Augmented Generation (RAG). Integrate pre-trained AI models with internal data sources and external applications.
6. Optimize AI models for speed, scalability, and cost-efficiency in production environments.

7. Monitor deployed models for performance, accuracy, and latency, implementing ML/LLM Ops and using evaluation frameworks.
8. Work with technical and non-technical teams to implement models into production and translate complex findings into actionable insights for stakeholders.
9. Maintain documentation, best practices, and knowledge repositories for analytics solutions. Monitor adoption KPIs, gather user feedback, and drive continuous improvement in analytics capabilities.
10. Stay updated with the latest AI trends to enhance organizational AI infrastructure

Location

Ciudad de Mexico, Mexico

Additional Locations

Job Type

Full time

Job Area

Operations and Production

Equal Opportunity

Constellation Brands is committed to a continuing program of equal employment opportunity. All persons have equal employment opportunities with Constellation Brands, regardless of their sex, race, color, age, religion, creed, sexual orientation, national origin or citizenship, ancestry, physical or mental disability, medical condition (cancer or genetic characteristics), marital status, gender (including gender identity or gender expression), familial status, military or veteran status, genetic information, pregnancy, childbirth, breastfeeding, or related conditions (or any other group or category within the framework of the applicable discrimination laws and regulations).

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data scientist , amazon music disco empleos en coacalco méx.

Ingeniero Senior, Ciencia de Datos

Senior Analyst, Forecasting

Business Intelligence Senior Analyst

Java & API Application Support Engineer – AMS

AI DI Engineering Manager - Mexico City

Sr. AI Engineer - Marketing

Project Manager - Satellite Gateway Infrastructure

Clinical specialist Guadalajara / Medical devices Structural Heart

Senior Implementation Engineer

ML Ops Engineer S.Sr

Data Scientist

Cloud Data Analytics Engineer New

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