AI Data Scientist — Remote/Hybrid Energy Analytics

S&P Global; Bogotá; Híbrido; COP 289.175.208 - 417.697.523; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Flexible work arrangements

Learning budget

Descripción de la vacante

S&P Global Energy seeks an AI Data Scientist to transform commodity data into actionable insights. You will design automation workflows, build AI agents, and develop RAG-based solutions using vector databases and orchestration tools. Collaboration with business teams and strong English communication are essential.

Hybrid role with global impact; experience in Python, ML, and production LLM operations is required.

Formación

• Strong OO programming with design patterns and SOLID principles.
• 5+ years coding with 3+ years in Python; knowledge of data pipelines and ML.
• 1+ years building LLM apps, including RAG with orchestration frameworks.
• 1+ years with workflow automation platforms.
• 2+ years working with relational or NoSQL databases.
• Bachelor's degree in CS, Engineering, or related.

Responsabilidades

• Design workflow automation solutions to streamline operations for clients.
• Create AI-powered agents to automate tasks and boost efficiency.
• Build and maintain RAG apps using vector databases and orchestration frameworks.
• Collaborate with business teams to analyze data and identify automation opportunities.
• Drive business decisions based on data insights.

Conocimientos

OO programming

Python

data pipelines

ML implementation

LLM applications

RAG architectures

orchestration frameworks

vector databases

workflow automation

relational databases

NoSQL databases

English communication

Agile teamwork

adaptability

Educación

Bachelor's degree in Computer Science or Engineering

Herramientas

Vector databases

Orchestration frameworks

Descripción del empleo

S&P Global Energy seeks an AI Data Scientist to transform commodity data into actionable insights. You will design automation workflows, build AI agents, and develop RAG-based solutions using vector databases and orchestration tools. Collaboration with business teams and strong English communication are essential.

Hybrid role with global impact; experience in Python, ML, and production LLM operations is required.