Senior Data Scientist - AI, Data Eng & MLOps

Altia; Brussel Hoofdstad; Sur place; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

High-impact project

Collaborative work environment

Career Plan

Training Plan

Flexible Remuneration

Résumé du poste

Altia is seeking an Advanced Data Scientist with a strong background in data engineering, machine learning and Business Intelligence. The role involves designing data processing solutions, automating data ingestion and building analytical and predictive models.

You will work on data architecture, MLOps and collaboration with stakeholders to translate business needs into scalable data solutions. The ideal candidate will design cloud-based data architectures, develop pipelines, and deliver

Qualifications

• Experience designing data processing solutions and automated ingestion pipelines.
• Proficient in building analytical and predictive models.
• Ability to translate business needs into scalable data solutions and communicate results clearly.

Responsabilités

• Design automated data ingestion, transformation, and processing pipelines for reliable data flows.
• Create robust analytical data models and cloud-based architectures to support analytics and BI.
• Develop statistical and predictive models to generate actionable insights.
• Implement metadata-driven automation and support data lifecycle management.
• Apply software engineering practices (version control, CI/CD, model management) to deliver reliable analytics.

Connaissances

Data engineering

Machine learning

Business intelligence

Data modelling

MLOps

CI/CD

Outils

Git

CI/CD

Tableau

Power BI

SAS

Qlik

Description du poste

Altia is seeking an Advanced Data Scientist with a strong background in data engineering, machine learning and Business Intelligence. The role involves designing data processing solutions, automating data ingestion and building analytical and predictive models.

You will work on data architecture, MLOps and collaboration with stakeholders to translate business needs into scalable data solutions. The ideal candidate will design cloud-based data architectures, develop pipelines, and deliver