Senior Data Scientist H/F
Tasks
- Build training pipelines from datalakehouse
- Collaborate with cross-functional teams using Agile
- Communicate model insights to product stakeholders
- Detect anomalies for AML compliance
- Detect churn and risk using scoring
- Develop predictive models
- Develop prescriptive recommendation engines
- Engineer data features with data engineers
- Implement MLOps model versioning and deployment automation
- Integrate predictive features into data lakehouse
- Monitor production model drift and bias
- Translate business needs into data science problems
Perks/Benefits
- Collaborative work environment
- Personal skills development support
- Supportive culture
- Training and certifications support
Skills/Tech-stack
API Gateway | Agile | CI/CD | Cassandra | Cloudera | Data Drift | Deep learning | Docker | Kafka | Keycloak | MLOps | Machine Learning | Microservices | Model Monitoring | MongoDB | NoSQL | Pandas | PySpark | PyTorch | Python | Scikit-learn | Scrum | Spark | TensorFlow | XGBoost
Education
Roles
Regions
Countries
States
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