Data Science SME- Manager Grade
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Key skills for this role
About the Role
My client is seeking a highly experienced AI & Production Optimization Subject Matter Expert (SME) with strong expertise in LNG/Oil & Gas operations, Machine Learning, Deep Lear.
Key Skills for This Role
Responsibilities
- Review and validate upstream and midstream gas supply process models, including operational and process constraints
- Assess production forecasts for overall gas production and component level yields (C1, C2, C3, C4, and C5+)
- Review and validate feature engineering, data quality, and model design used in Machine Learning and Deep Learning solutions
- Evaluate AI based production optimization approaches and identify opportunities to improve model accuracy, operational efficiency, and profitability
- Recommend enhancements to model parameters, feature selection, constraint prioritization, and optimization strategies
- Support production planning, scheduling, and commercial decision making through predictive analytics and optimization solutions
- Translate complex technical concepts and AI outputs into clear, business focused recommendations for stakeholders
Requirements
- 10+ years of experience in LNG, Oil & Gas, Advanced Analytics, AI/ML, or Production Optimization
- Strong expertise in Python, Machine Learning, Deep Learning, and optimization techniques
- Hands on experience with models such as LSTM, SARIMA, Kalman Filters, SVR, Ridge Regression, probabilistic models, and ensemble approaches
- Strong understanding of feature engineering, model validation, overfitting prevention, and time series forecasting
- Experience with Linear Programming, constraint based optimization, and production optimization methodologies
- Strong understanding of LNG and Oil & Gas processing operations across upstream, midstream, and LNG value chains
Full Job Posting
Overview
- My client is seeking a highly experienced AI & Production Optimization Subject Matter Expert (SME) with strong expertise in LNG/Oil & Gas operations, Machine Learning, Deep Learning, and Mathematical Optimization.
Key Responsibilities
- Review and validate upstream and midstream gas supply process models, including operational and process constraints.
- Assess production forecasts for overall gas production and component level yields (C1, C2, C3, C4, and C5+).
- Review and validate feature engineering, data quality, and model design used in Machine Learning and Deep Learning solutions.
- Evaluate AI based production optimization approaches and identify opportunities to improve model accuracy, operational efficiency, and profitability.
- Recommend enhancements to model parameters, feature selection, constraint prioritization, and optimization strategies.
- Support production planning, scheduling, and commercial decision making through predictive analytics and optimization solutions.
- Translate complex technical concepts and AI outputs into clear, business focused recommendations for stakeholders.
Required Skills & Experience
- Strong expertise in Python, Machine Learning, Deep Learning, and optimization techniques.
- Hands on experience with models such as LSTM, SARIMA, Kalman Filters, SVR, Ridge Regression, probabilistic models, and ensemble approaches.
- Strong understanding of feature engineering, model validation, overfitting prevention, and time series forecasting.
- Experience with Linear Programming, constraint based optimization, and production optimization methodologies.
- Ability to interpret and challenge mathematical models and optimization equations.
- Strong understanding of LNG and Oil & Gas processing operations across upstream, midstream, and LNG value chains.
- Proven ability to review hybrid AI solutions and provide SME level recommendations to improve technical performance and business outcomes.
Preferred Experience
- 10+ years of experience in LNG, Oil & Gas, Advanced Analytics, AI/ML, or Production Optimization.
- Experience supporting digital transformation, process simulation, and AI driven optimization initiatives within the energy sector.
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