5 publicaciones de empleo destacadas de machine learning en coacalco méx. (¡Están contratando!)

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
Data science (Cuauhtemoc, Ciudad de México)
BBVA —Cuauhtémoc, CDMX
- Tiempo completo
- Inglés
- Maestría
- Matemáticas
15h
Casos de Uso
Bluetab, an IBM Company —Ciudad de México, CDMX
- Trabajo híbrido
- DevOps
- Java
- SQL
13h
Senior Manager, Data Science and Agentic AI
Coca-Cola —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Maestría
- SQL
21h
Banamex - Analista Intermedio Programador SAS SQL - C11
Citi —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Informática
- Ingeniería
21h

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Ingeniero IA
Ganon Distribuidora de habilitaciones SAPI de CV —Centro (Área 6), CDMX
Desarrollar soluciones de visión artificial y LLM. Experiencia académica o profesional con modelos de visión artificial y LLM. Programación en Python y C++.
$35,000 a $40,000 por mes
Postulación rápida
Becario de Mercadotecnia
Kaptan International —Hipódromo, CDMX
Dar seguimiento a la solicitud y control de muestras de producto para diferentes mercados y clientes internos. Manejo de Microsoft Excel y PowerPoint.
$7,000 por mes
Postulación rápida

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Data Scientist

CIAL D&B Services Inc
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

Power BI
Data mining
Administración de personal
Análisis de negocios
Inglés
Experiencia en bases de datos
SQL
Pandas
Debian
Ubuntu
Linux
Visualización de datos
Python
T-SQL

Descripción completa del empleo

Why work with us?

We are a fast-growing company that is revolutionizing the world of data in Latin America!

CIAL Dun & Bradstreet is the leading provider of business decision making solutions and commercial data across Latin America and the Caribbean. Our solutions are designed to transform how businesses manage risk and make critical decisions about the companies they rely on.

At CIAL, we firmly believe that every team member plays a critical role towards achieving our goal of enabling businesses to thrive in any economic environment.

The role:

You will be responsible for leading and driving strategic data science projects focused on automating processes. By applying predictive models and effective techniques, you’ll solve real business challenges in a fast-moving corporate setting. You’ll be part of a dynamic, collaborative team that’s shaping how the organization makes impactful decisions.

What will you do:

Discover and leverage valuable data sources, automate extraction, transformation, and loading (ETL) processes, and perform data quality analysis (completeness, profiling, etc.).
Automate manual processes, especially business analysis and repetitive tasks like exception documentation and operational flows.
Analyze large volumes of structured and unstructured data to uncover relevant patterns and trends.
Design, develop, and deploy predictive models (e.g., XGBoost) to answer key business questions such as customer forecasts, contract renewals, goal achievement likelihood, and product success probability.
Integrate AI solutions into business processes, ensuring data security and cybersecurity compliance.
Present insights and results through clear and effective visualizations (using Power BI or other tools).
Lead data science projects from problem definition to implementation and results communication with both technical and non-technical teams.
Collaborate with cross-functional teams using agile methodologies like Scrum.
Document data use cases by detailing business problems, data needs, and expected outcomes.

What are we looking for:

3+ years of experience as a Data Scientist or Data Analyst.
Proficient in Python (pandas, advanced regular expressions, data pipelines), SQL (complex joins, stored procedures in T-SQL), and database management.
Experience in data mining, forecasting, and building predictive and statistical models.
Experience with Power BI or other data visualization tools.
Experience working with Linux systems (Debian, Ubuntu, or other derived distributions).
Familiarity with the commercial data risk ecosystem (credit and/or suppliers), ideally in a Latin American country.
Knowledge of machine learning, business-applied artificial intelligence, and process automation.
Education in engineering, mathematics, physics, computer science, or another quantitative field.
Experience in large companies and complex business challenges is preferable.
Proficiency in English language (written and spoken).

What we offer:

Positive and encouraging work environment.
Dynamic company where you can grow as far as your vision and curiosity leads you.
Competitive compensation and benefits package.
Hybrid work scheme.

CIAL provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation, and training.

Postulación rápida

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machine learning empleos en coacalco méx.

Data Scientist

Data science (Cuauhtemoc, Ciudad de México)

Casos de Uso

Senior Manager, Data Science and Agentic AI

Banamex - Analista Intermedio Programador SAS SQL - C11

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Quiero recibir la alerta de empleo más reciente para machine learning en coacalco méx.

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