Lead Data Scientist(Refining Industry)
Houston, Texas, United States
USD 140K-165K (estimate) Senior-level Full Time Found 15h ago
Tasks
- Build models for refinery performance optimization energy efficiency reliability analytics
- Communicate insights to stakeholders
- Develop statistical machine learning and optimization models
- Interpret model results for refinery economics and safety
- Quantify business impact
- Translate refinery problems into analytical solutions
Perks/Benefits
Skills/Tech-stack
Data Analysis | Data Visualization | Domain-informed modeling | Historians PI | Industrial process | Industrial process data | Machine Learning | Optimization | Process data | Python | R | Refining processes | SQL | Series analysis | Statistics | Time Series | Time Series Analysis
Education
Roles
Language: en |
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