Senior Data Scientist

Tasks

• Apply security privacy governance and responsible AI
• Build anomaly detection risk scoring and classification models
• Collaborate on data and machine learning pipelines and feature engineering
• Define model evaluation accuracy explainability and operational value
• Industrialize machine learning solutions
• Integrate solutions using Azure and Databricks services
• Lead design and development of machine learning solutions
• Provide technical leadership define standards and coach team members

Perks/Benefits

• Bike parking
• Car parking
• Company restaurant
• Flexible working hours
• Individual locker
• Teleworking 3 days per week
• Work-life balance

Skills/Tech-stack

Agile | Anomaly Detection | Azure | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure Storage | CI/CD | Classification | Clustering | Data Factory | Databricks Workflows | Delta Lake | Explainable AI | Feature Engineering | Git | MLOps | MLflow | PySpark | Python | Risk scoring | SQL | Supervised Learning | Unity Catalog | Unsupervised Learning