12 publicaciones de empleo destacadas de data scientist en cuauhtémoc cdmx (¡Están contratando!)

AI Native Data Engineer
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- Administración de personal
- ERP systems
Postulación rápida
Staff Data Engineer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
Postulación rápida
1d
Data Engineer Senior
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
Clinical Scientist in CNS - LATAM
IQVIA —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Maestría
Cement Solution Manager
Imubit —Ciudad de México, CDMX
- Home Office (Desde casa)
- Maestría
- Licenciatura
- Sin título de educación superior
8d
Clinical Scientist, Clinical Science, Cronos
IQVIA —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Maestría
Staff Software Engineer - Data Processing & Execution Platform
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Administración de personal
- Informática
Digital Media Strategist - MX
WITHIN —Ciudad de México, CDMX
- Contacto por teléfono
- Microsoft Excel
- Inglés
- Licenciatura
AI Presales
SDG Group —Ciudad de México, CDMX
- Trabajo híbrido
- Español
- Azure
- Doctorado
Postulación rápida
Senior Data Scientist, DTC
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
Postulación rápida
6d
Assistant Scientist
Colgate-Palmolive —Ciudad de México, CDMX
- Administración de personal
- Inglés
- Licenciatura
19h
Data Scientist - AI
HARTING México S.A. de C.V. —Residencial Militar, CDMX
- Azure
- Informática
- Inglés
Postulación rápida
20h

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Científico de Datos Países
Grupo Salinas —Coyoacán, CDMX
Explotar datos cristalinos para análisis, BI y modelos de machine learning. Desarrollar y aplicar modelos de aprendizaje automático y análisis predictivo.
$39,000 a $42,500 por mes
Postulación rápida
9d
Director inteligencia artificial
Instituto Universitario del Centro de México —Gustavo A. Madero, CDMX
Mínimo 4-5 años de experiencia en diseño e implementación de soluciones de IA o machine learning. Diseñar, entrenar y validar modelos de machine learning (ML) y…
$80,000 por mes
Postulación rápida
1d

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AI Native Data Engineer

PALO IT -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

Looker
Power BI
Azure
Administración de personal
Riesgos de préstamos
Spark
ERP systems
Inglés
Google Cloud Platform
Tableau
SQL
Análisis de riesgo
Apache
Kafka
Redshift
Python

Descripción completa del empleo

Who We Are

Building the AI-first frontier enterprise.

We are a global technology consultancy with a trademarked, AI-first approach—Gen-e2. It redefines how enterprises build digital products and transform their organizations with AI. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

We are small enough to care locally, big enough to deliver globally (10 countries, 450+ experts from 50+ nationalities)
We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.
We are robust and resilient (100% independent, 0 debt, founded 2009)
We are AI-native professionals who invest in what we believe and work as a collective intelligence
We are positive, courageous and deliver at the leading edge.

Your Role

As a Data Engineer for a leading insurance company, you will play a key role in building a data-driven decision-making culture. You will design resilient and secure solutions that transform raw data into strategic insights for underwriting, risk management, fraud prevention, and customer experience.

Design, build, and maintain scalable and secure data pipelines in cloud environments (AWS, GCP, or Azure).
Integrate large volumes of structured and unstructured data from core insurance systems (such as policies, claims, CRM, ERP).
Automate data ingestion, transformation, and quality processes using tools such as Apache Spark, dbt, Kafka, and Airflow.
Build and maintain modern data lakes and warehouses (Snowflake, BigQuery, Redshift).
Implement data quality, lineage, and governance validations (Great Expectations, Deequ, OpenMetadata).
Ensure compliance with data regulations (GDPR, SOC2, etc.) and internal security policies.
Design optimized datasets to enable machine learning models, predictive analytics, and dashboards (Power BI, Looker, Tableau).
Collaborate with data scientists, architects, and business stakeholders to democratize access to trusted data.
Document data architectures, pipelines, transformation standards, and lineage.

Who You Are.

Experience with modern data processing frameworks: Spark, databricks, dbt, Kafka, Apache Beam.
Strong command of Python and advanced SQL.
Hands-on experience with Azure cloud platforms (Data Factory, Synapse).
Knowledge of modern Data Lake / Data Warehouse design (Snowflake, Redshift, BigQuery).
Familiarity with DataOps, testing, and CI/CD practices in data pipelines.
Experience with workflow orchestration systems such as Airflow or Dagster.

Understanding of data quality and governance frameworks: Great Expectations, Deequ, DataHub, OpenLineage.
Knowledge of streaming technologies: Kafka, Pub/Sub, Kinesis.
Upper-intermediate English level (B2 or higher) for global collaboration.

Nice to Have

Familiarity with event-driven architectures and microservices.
Previous experience in the financial or insurance sector.
Certifications such as Azure Data Engineer or Fabric Data Engineer.
Experience with MLOps solutions (Vertex AI, SageMaker, MLFlow).

AI-Native Engineering (Core Expectation)

Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for:
Code scaffolding and refactoring
Code generation and optimisation
Test-cases and documentation generation
Build applications through AI-driven development practices, including:
AI-assisted debugging and troubleshooting
Intelligent code completion and pattern recognition
Automated documentation generation
Apply prompt engineering best practices for reliable, repeatable engineering outcomes.
Validate GenAI output (determinism checks, guardrails, fallback logic).

More About PALO IT

Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

What We Offer

Stimulating working environments
Unique career path
International mobility
Internal R&D projects (including Gen-e2)
Knowledge sharing
Personalized training via PALO IT Academy
Entrepreneurship & intrapreneurship

For more on our team culture and benefits, check out our careers page.

Postulación rápida

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data scientist empleos en cuauhtémoc cdmx

AI Native Data Engineer

Staff Data Engineer

Data Engineer Senior

Clinical Scientist in CNS - LATAM

Cement Solution Manager

Clinical Scientist, Clinical Science, Cronos

Staff Software Engineer - Data Processing & Execution Platform

Digital Media Strategist - MX

AI Presales

Senior Data Scientist, DTC

Assistant Scientist

Data Scientist - AI

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More About PALO IT

Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

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data scientist empleos en cuauhtémoc cdmx

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Quiero recibir la alerta de empleo más reciente para data scientist en cuauhtémoc cdmx

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Your Role

More About PALO IT Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

More About PALO IT

Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.