Data Scientist 2
Tasks
- Acquire and prepare multi source technical data
- Build and validate machine learning models
- Develop Retrieval-augmented generation solutions
- Develop and execute data strategy roadmaps
- Develop data visualization and decision support dashboards
- Educate partners through demos and training
- Engineer domain aware features and reusable assets
- Ensure data integrity and regulated documentation
- Identify AI opportunities
- Monitor model drift performance and data quality
- Operationalize models with MLOps pipelines
- Quantify value realization and manage AI initiative backlog
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Azure | Azure OpenAI | Causal Inference | Data Visualization | Databricks | Deep learning | Delta Lake | Feature Engineering | Language Processing | MLOps | MLflow | Machine Learning | Natural Language | Natural Language Processing | PostgreSQL | Power BI | Python | RAG | Retrieval-Augmented Generation | SQL | SQL Server | Semantic Search | Series analysis | Spark | Statistics | Tableau | Time Series | Time Series Analysis | Unity Catalog | Vector Search
Education
Roles
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