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Data Scientist - Song

Madrid, Castellana 85💼 Full-time🗓 2026-07-14 → 2026-07-30

Core

Design, industrialize, and operate advanced Machine Learning models aligned with data-driven business solutions and complex digital ecosystems.

Role type

MLOps Engineer – Consultant

Builds

Production-ready ML pipelines and MLOps solutions on Cloud (AWS)

Domain

Technology / Data & AI / Financial Services

Deliverable

production ML models

Required skills

Python, supervised and unsupervised ML algorithms, full ML lifecycle management, Cloud environments

Preferred skills

AWS SageMaker, ML Pipelines development, workflow orchestration, Martech experience, Financial sector experience

Technologies

Python, AWS, SageMaker

Responsibilities

Design and maintain production-oriented Machine Learning pipelines; Implement CI/CD practices for analytical models; Monitor model performance in production; Apply security, logging, and compliance criteria

Seniority

Consultant, hands-on IC

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