Data Scientist (m/w/d)
Tasks
- Analyze customer data
- Build ETL and ELT pipelines
- Build scoring models
- Create Power BI visualizations and reports
- Create lakehouse and warehouse for reporting
- Detect anomalies
- Develop data products in production with IT
- Develop targeting logic
- Document data catalog and data lineage
- Enrich data using external APIs
- Ensure data quality with automated tests
- Integrate LLM workflows
- Perform predictive analytics
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Azure Data | Azure Data Factory | Data Catalog | Data Deduplication | Data Factory | Data Lineage | Data Quality | Data Quality Testing | Data Validation | Data Warehouse | DataVault | Dataflow | ELT | ETL | LLM | Lakehouse | Microsoft Fabric | Notebooks | Pandas | Power BI | Predictive Analytics | Python | Quality testing | REST API | SQL | Scikit-learn | Spark | Star Schema
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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