20 publicaciones de empleo destacadas de data platform en querétaro, que (¡Están contratando!)

Data Scientist
ADI Global Distribution —Querétaro, Qro.
- Tiempo completo
- Azure
- Informática
- Inglés
2d
Integration Specialist | Workday & Enterprise Applications
Siemens —Querétaro, Qro.
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Informática
- ERP systems
IT Support Technician
Ria Money Transfer (Dandelion) —Querétaro, Qro.
- Tiempo completo
- Administración de personal
- Informática
- Licenciatura
- Seguro de vida
Postulación rápida
13h
Data Center Operations Manager, DCC Communities
Amazon Data Services MX, S. de —Querétaro, Qro.
- Tiempo completo
- Administración de personal
- Informática
- Licenciatura
4d
IT Business Analyst & Process Owner ServiceNow
Eaton —Querétaro, Qro.
- Bilingüe
- Administración de personal
- Licenciatura
1d
Data Specialist
Autoliv Inc. —Querétaro, Qro.
- Informática
- ERP systems
- SQL
Support Analyst (24/7) - Mexico
RELEX Solutions —Querétaro, Qro.
- Tiempo completo
- Azure
- DevOps
- Inglés
Postulación rápida
Financial Data Analyst
Roquette —Querétaro, Qro.
- $600,000 a $800,000 por año
- Tiempo completo
- Microsoft Excel
- ERP systems
- Inglés
Order Management Analyst (Temporary)
Ansell —Querétaro, Qro.
- Tiempo completo
- Microsoft Excel
- Oracle
- Salesforce
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
4d
Data Specialist
Autoliv Mexico —Querétaro, Qro.
- Informática
- ERP systems
- SQL
Continuous Improvement System Trainee
BRP —Querétaro, Qro.
- Administración de personal
- Inglés
- Experiencia en bases de datos
14d
RevOps Technical System Analyst (Mexico Only - Remote)
Varicent —Querétaro, Qro.
- $457,200 a $600,000 por año
- Home Office (Desde casa)
- Salesforce
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
11d
OPEX Analyst
Eaton —Querétaro, Qro.
- Microsoft Excel
- Administración de personal
- Inglés
Azure Data Engineer
Infosys —Querétaro, Qro.
- Azure
- Informática
- Inglés
Postulación rápida
Technical Support Engineer
Eaton —Querétaro, Qro.
- Administración de personal
- Experiencia en ventas
- Servicio al cliente
IT Director - End User Computing, Infrastructure, Cybersecurity & Manufacturing
Autoliv Inc. —Querétaro, Qro.
- Informática
- Inglés
- Licenciatura
12d
IT Director - End User Computing, Infrastructure, Cybersecurity & Manufacturing
Autoliv Mexico —Querétaro, Qro.
- Informática
- Inglés
- Licenciatura
12d
Instructional Multimedia Designer (Remote - Mexico Only)
Varicent —Querétaro, Qro.
- $457,200 a $600,000 por año
- Home Office (Desde casa)
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
14d
Critical Environment Operations
Microsoft —Querétaro, Qro.
- Turno de 12 horas
- Azure
- Inglés
- Microsoft Office
Product and Process Quality Assurance Engineer
ZF —El Marqués, Qro.
- Inglés
- Mejora continua

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Data Scientist

ADI Global Distribution -
Querétaro, Qro.

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Información del empleo

Tiempo completo
Hace 2 días

Cualificaciones

Azure
Informática
NumPy
Inglés
Algoritmos
SQL
Pandas
Licenciatura
Capacitación
Gestión de venta al por menor
Python
Ciencia de los datos

Descripción completa del empleo

As a Data Scientist, you will collaborate with a global, high‑performing team to design, build, and operationalize advanced data science and machine learning solutions. Your work will support customer experience, demand generation/forecasting, operations optimization, and revenue growth initiatives across B2B, and Digital Commerce environments.

This role sits at the intersection of advanced analytics, applied machine learning, and business strategy. You will translate complex data and modeling outcomes into actionable insights while ensuring that models move efficiently from experimentation into scalable, production‑ready solutions.

JOB DUTIES:

Design, develop, and deploy predictive and prescriptive models to support customer experience optimization, demand forecasting, operations efficiency, and customer behavior analysis.
Apply a range of machine learning and AI techniques, including classical algorithms (e.g., Gradient Boosting, Random Forests, SVMs), deep learning architectures (e.g., LSTM, Transformers), and emerging AI approaches to solve complex business problems.
Build, maintain, and optimize customer-facing and internal analytical models, such as recommendation systems, churn prediction, propensity modeling, customer segmentation, demand forecasting, matching, and assortment optimization.
Perform feature engineering, clustering, statistical modeling, and time-series analysis using structured and unstructured data sources.
Transition models from exploratory research environments (e.g., notebooks) into production-ready artifacts, including APIs, serialized models, and containerized solutions.
Collaborate closely with engineering teams to ensure end-to-end MLOps integration, including CI/CD pipelines, model versioning, automated deployment, monitoring, and retraining strategies.
Conduct advanced statistical analysis to identify trends, anomalies, and opportunities, delivering actionable insights through reports and analytical outputs.
Support experimentation initiatives through A/B testing, KPI definition, causal inference, and measurement of business impact.
Partner with product, engineering, analytics, and business stakeholders to identify and prioritize data science opportunities aligned with organizational goals.
Communicate findings clearly, including assumptions, limitations, trade-offs, and recommendations, to both technical and non-technical audiences.

YOU MUST HAVE:

3+ years of hands-on experience in applied data science and machine learning, ideally within B2B, Retail, or Digital Commerce environments.
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, or a related field.
Strong proficiency in Python, including experience with data science and ML libraries such as Pandas, NumPy, Scikit‑learn, and visualization tools.
Advanced SQL skills, including the ability to write complex queries, procedures, and analytical transformations.
Solid understanding of classical machine learning algorithms and their real-world business applications.
Strong analytical, critical-thinking, and problem-solving abilities with a consistent focus on business impact.
Professional working proficiency in English for global collaboration and technical communication.

WE VALUE:

Experience applying deep learning techniques, including sequence models (LSTM) and Transformer-based architectures.
Hands-on experience leveraging Large Language Models (LLMs) for use cases such as text classification, search, summarization, enrichment, or automation.
Practical experience designing or improving recommendation systems and personalization models.
Familiarity with MLOps best practices, including CI/CD pipelines, automated testing, deployment, monitoring, and retraining.
Experience with Snowflake or similar cloud-based data warehouse platforms.
Exposure to data engineering concepts, such as data pipelines, dbt, workflow orchestration, or streaming architectures.
Experience working with Azure cloud services and ML/AI platforms.
Proficiency with GitHub for version control and collaborative development workflows.
Experience working in Agile/Scrum environments.
Strong collaboration skills, intellectual curiosity, adaptability, and a commitment to continuous learning.

WHAT'S IN FOR YOU:

Benefits that go beyond Mexican labor law, ensuring your well-being and peace of mind.
A collaborative and inclusive work environment where your contributions are valued.
Opportunities for continuous professional growth and skill development through training, mentoring, and challenging projects.
Access to cutting-edge tools, resources, and a supportive team to help you excel.

#LI-AA1

#LI-Hybrid

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data platform empleos en querétaro, que

Data Scientist

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IT Support Technician

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IT Business Analyst & Process Owner ServiceNow

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Support Analyst (24/7) - Mexico

Financial Data Analyst

Order Management Analyst (Temporary)

Data Specialist

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OPEX Analyst

Azure Data Engineer

Technical Support Engineer

IT Director - End User Computing, Infrastructure, Cybersecurity & Manufacturing

IT Director - End User Computing, Infrastructure, Cybersecurity & Manufacturing

Instructional Multimedia Designer (Remote - Mexico Only)

Critical Environment Operations

Product and Process Quality Assurance Engineer

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