Data Scientist

Randstad Digital Belgium; Brussel Hoofdstad; Sur place; EUR 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Challenging projects

Talent manager

Career development

Team events

Résumé du poste

Randstad Digital Belgium is seeking a senior Data Scientist / ML Lead to oversee the design, development and industrialisation of machine-learning solutions within Azure Databricks. You will work with data engineers, analysts and policy stakeholders to translate business needs into data-driven solutions.

The role requires deep expertise in Python, SQL and Azure Databricks, with experience in ML techniques such as anomaly detection, risk scoring and classification, and a track record in MLflow,

Qualifications

• Master or PhD with 10+ years of experience in data science, ML or advanced analytics
• Strong experience with Python, SQL, Azure Databricks and PySpark
• Strong knowledge of ML techniques including anomaly detection, classification, clustering
• Experience with MLflow, Delta Lake, Unity Catalog and Databricks Workflows
• Experience with Git, automated testing, CI/CD and MLOps practices
• Experience with explainable AI, risk scoring and large-scale data processing

Responsabilités

• Lead the design, development and industrialisation of ML solutions in Azure Databricks
• Collaborate with data engineers, business analysts and policy stakeholders to identify high-value use cases and translate business needs into data-driven solutions
• Develop anomaly-detection, risk-scoring and classification models using supervised and unsupervised techniques
• Use Databricks and Azure services including PySpark, Delta Lake, Unity Catalog, MLflow, Workflows, Azure Data Factory, Azure DevOps and Azure Storage
• Provide technical leadership, define standards and coach team members.

Connaissances

Python

SQL

Azure Databricks

PySpark

ML techniques

MLOps

Git

CI/CD

Explainable AI

Large-scale data processing

Formation

Master's degree or PhD

Outils

MLflow

Delta Lake

Unity Catalog

Databricks Workflows

Azure DevOps

Azure Storage

Azure Data Factory

Description du poste

• You lead the design, development and industrialisation of machine-learning solutions in Azure Databricks
• Work together with data engineers, business analysts and policy stakeholders to identify high-value use cases and translate business needs into data-driven solutions
• Develop anomaly-detection, risk-scoring and classification models using supervised and unsupervised techniques
• Use Databricks and Azure services including PySpark, Delta Lake, Unity Catalog, MLflow, Workflows, Azure Data Factory, Azure DevOps and Azure Storage
• Provide technical leadership, define standards and coach team members.

Profile

• You have a Master or PhD and 10+ years of experience in data science, machine learning or advanced analytics
• You have strong experience with Python, SQL, Azure Databricks and PySpark
• Strong knowledge of ML techniques, including anomaly detection, classification, clustering
• Experience with MLflow, Delta Lake, Unity Catalog and Databricks Workflows
• Experience with Git, automated testing, CI/CD and MLOps practices
• Experience with explainable AI, risk scoring and large-scale data processing

Offer

• Challenging projects and an entrepreneurial culture
• Guidance: we believe in the power of human connections, so we'll assign you a dedicated talent manager who will always have your back
• Career planning and professional development: our learning and development team is here to help you create your Data Consultant career path
• Team events & Learning from peers: as a technical expert, you will be part of our chapters: vibrant communities filled with colleagues who are passionate about a particular area of expertise