Senior Scientist - Data Science & AI, Industrial Process Analytics
Tasks
- Build and ship deployed products
- Collaborate cross-functional teams
- Communicate results to stakeholders
- Contribute to MLOps best practices
- Contribute to data analysis coding best practices
- Design scalable data science applications
- Develop data-driven decision support
- Generate insights and measurable impact
- Implement model driven approaches for operations
- Improve yield throughput quality reliability sustainability
- Scout and implement new technology in house
- Stay current with state of the art methods
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Bayesian Methods | Box Modeling | CI/CD | CWL | Causal Inference | Chemometrics | Code review | DBT | DOE | Databricks | Deep learning | Digital Twin | Digital Twins | Django | Docker | Drift Detection | FastAPI | Flask | GenAI | Git | Gray Box Modeling | Gray box) | Integration Testing | JavaScript | Linting | MLflow | Machine Learning | Model Interpretability | Model-Predictive Control | Multivariate analysis | Neural Networks | Nextflow | Physics Informed Neural Networks | Predictive control | Python | SQL | Series forecasting | Streamlit | System Identification | Time Series | Time Series Forecasting | Uncertainty Quantification | Unit Testing
Education
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