Data Scientist Senior (H/F)
Tasks
- Build data pipelines
- Communicate results to non-technical stakeholders
- Deploy models to production
- Develop optimization models
- Develop prediction models
- Develop recommendation models
- Evaluate model performance
- Explore data
- Frame machine learning use cases
- Identify relevant data
- Industrialize ML deployment
- Maintain ML systems in operations
- Optimize models
- Prototype machine learning models
- Select algorithms
- Set up model monitoring
- Validate hypotheses
Perks/Benefits
- Best Workplaces for Women
- Cooptation bonus
- Great Place to Work certification
- Inclusive hiring process training for managers
- Internal events
- Onboarding program
- Sustainable mobility
- Technical communities
- Telework days
- Training programs
- Vacation bonus
- Work-life balance initiatives
Skills/Tech-stack
API | AWS | Agile | Bash | CI/CD | Cloudera | Data Pipelines | Event Driven | Event-driven architecture | Git | Kubernetes | MLOps | Machine Learning | Machine Learning Model | Machine Learning Model Monitoring | Model Monitoring | NoSQL | NumPy | Pandas | PySpark | Python | SQL | SageMaker | Scala | Scikit-learn | Spark | Unit Testing
Education
N/A
Regions
Countries
States
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