Senior Data Scientist
Tasks
- Build diagnostics for model performance uncertainty calibration coverage residuals and response heterogeneity
- Build probabilistic surrogate models for production response uncertainty and risk
- Collaborate with SMEs and operators to translate outputs into recommendations risk flags and explanations
- Design constrained optimization policies with safety constraints trust regions and action ranges
- Design field experiments and sequential learning workflows balancing exploration exploitation and risk
- Develop Bayesian optimization workflows for artificial lift optimization
- Develop contextual models conditioning on well state lift regime and production trends
- Evaluate model calibration predictive uncertainty out of sample generalization and decision quality
- Model intervention response using before after windows and counterfactual baselines
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Bayesian optimization | Causal Inference | Constrained optimization | Counterfactual Inference | Cross-validation | Gaussian Processes | Machine Learning | Model calibration | NumPy | Out of Sample Evaluation | Pandas | Probabilistic Modeling | Python | Residual analysis | SQL | Sample evaluation | Scikit-learn | Sequential learning | Series forecasting | Surrogate modeling | Time Series | Time Series Forecasting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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