4 publicaciones de empleo destacadas de machine learning en el capulín cdmx (¡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
Ingeniero de Software
Financiera-Independencia —Álvaro Obregón, CDMX
- $25,000 a $32,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Ingeniería
- Seguro de vida
Postulación rápida
11h
Data Engineer
IDS Comercial, S.A. de C.V. —Benito Juárez, CDMX
- Tiempo completo
- Ingeniería
- Inglés
- SQL
- Oportunidades de crecimiento
Postulación rápida
23h
Martech Lead
General Motors —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Mercadotecnia
- Análisis de datos
21h

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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.

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