Principal Scientist, Data Science (Data Products, Integration & Analysis)
US026 PA Spring House - 1400 McKean Rd, United States
R
USD 117K-201K Senior-level Full Time
Tasks
- Build scalable interoperable AI ready data products
- Create feature stores and metadata products
- Define AWS implementation strategy for scientific data products
- Define metadata framework and data quality standards
- Deliver secure governed enterprise ready data pipelines
- Design data integration architecture
- Develop predictive AI and machine learning models for translational safety decision making
- Develop semantic ready curated datasets and data services
- Enable knowledge graphs semantic reasoning and GraphRAG
- Implement lineage provenance traceability FAIR data principles
- Lead scientific data product strategy
- Monitor data quality and quality controls
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Artificial Intelligence | Cloud Native | Data Architecture | Data Cataloging | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Processing | Data Quality | Data Services | Data Warehouse | Data product | Data product design | FAIR-Data | GraphRAG | Knowledge graphs | Machine Learning | Metadata Management | Predictive Modeling | Product Design | Semantic data | Semantic data modeling
Education
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