Duties and Responsibilities:
The successful candidate will be required to perform the following:
Leads a multidisciplinary team to oversee and monitor Gas AI business cases starting from challenges/opportunities identification, solution scouting, formulating, scoping, funding, PoC, deployment, evaluation and value tracking
Collaborate with internal/external entities and with 3rd parties to drive AI implementation advancement in Gas.
Prioritizes AI business cases and oversee the quality of all deliverable packages required to secure funds
Develops a roadmap to scale-up AI solutions across the Business Line
Facilitate and monitor AI solutions development and execution phases with all stakeholders
Develops Generative AI cases for Safety, Environment, Operations and Maintenance
Applies statistical analysis methods to test hypotheses and validate results based on the project or use-case
Build and train machine learning models to solve specific problems and optimize models for performance and accuracy such as anomaly detection algorithms or predictive models
Assesses, identify, and mitigate key risks associated with cybersecurity and ensure that data practices adhere to the company’s regulations and data privacy standards
Acts as the Gas AI focal point of contact and coordinator with all other entities.
Minimum Requirements:
The candidate must hold Bachelor’s degree in Engineering, Computer Science, Data science and analytics, Machine learning, or AI, or in a related field from an accredited university. Advanced degree in an engineering discipline with focus on machine learning, artificial intelligence, applied statistics or operations research is desirable
10 years of experience in building data analytics-based products or machine learning models.
Able to program in different languages such as python and has experience with statics and data cleaning libraries and methodologies, in addition to visualization such as Power BI or Tableau
Strong knowledge in regression and classification, association rules & clustering, big data, databases & SQL, textual analysis (NLP), neural networks, and advanced visualization. Understanding of statistical and predictive and optimization algorithms is required
analytical and problem-solving skills to derive insights and opportunities from data
Basic project management skills to plan, execute, and deliver data science projects
Past experience in leading AI solution deployment projects for Oil and Gas in preferable
Knowledge of plant automation systems, standard real time interfaces such as OPC and process historians such as PI is desirable.
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