data scientist | BRAIN
EUR 52K-72K (estimate) Mid-level Full Time
Tasks
- Analyze large and complex datasets
- Build recommendation systems and decision engines
- Communicate insights to technical and non-technical stakeholders
- Deploy and maintain production ready solutions with engineers
- Design and improve customer segmentation models
- Design and improve predictive models
- Develop and operationalise data science solutions with Google Cloud Platform
- Develop machine learning solutions for collections decision making
- Enable CI CD with Azure DevOps and Azure Pipelines
- Perform model monitoring and lifecycle management
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Azure DevOps | Azure Pipelines | Behavioral Modeling | BigQuery | CI/CD | Cloud platform | Customer Segmentation | Data Quality | Decision engines | Feature Engineering | Forecasting | Generative AI | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | Lifecycle Management | MLOps | Machine Learning | Model Deployment | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Object-Oriented | Object-oriented programming | Optimization | Oracle | Predictive Modeling | Python | Recommendation Systems | Reinforcement Learning | SQL | Vertex AI
Education
Bachelor of Science | Master of Engineering | Master of Science
Roles
Regions
Countries
States
Cities
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