Overview

Key Responsibilities

• Design and deploy machine learning models to analyze geological data, predict equipment failure, and enhance oil recovery methods.
• Conduct data mining and big data analysis to identify trends and insights that can lead to cost reductions and improved safety measures
• Lead the development and execution of data automation strategies to enhance operational efficiency and decision-making processes.
• Design and implement robust data management systems that ensure data integrity, quality, and accessibility across the organization.
• Collaborate with cross-functional teams to identify opportunities for process improvements and digital transformation.
• Develop and oversee the integration of advanced analytics, machine learning models, and AI to optimize production, maintenance, and exploration activities.
• Drive the adoption of digital technologies to enable real-time monitoring and predictive analytics.
• Ensure compliance with industry standards and regulations related to data security and privacy.
• Provide expert guidance and support to technical teams in the deployment of digital solutions.
• Stay up-to-date for emerging trends and technologies in data automation and digitalization within the oil/gas sector.
• Conduct data mining and big data analysis to identify trends and insights that can lead to cost reductions and improved safety measures.
• Communicate findings and recommendations to non-technical stakeholders, translating complex AI concepts into actionable business strategies.

Minimum Requirements

• Bachelor of science in petroleum engineering or related engineering discipline from an accredited university, MSc or Ph D is a plus.
• Minimum of 5 years of experience in data automation and digitalization within the oil and gas industry.
• Strong knowledge of data modeling, database design, and data warehousing principles.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data visualization tools and platforms (e.g., Tableau, Power BI, spotfire).
• Familiarity with cloud computing services (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark).
• Excellent project management skills and the ability to lead complex digital transformation projects.
• Strong analytical and problem-solving abilities, with a keen attention to detail.
• Exceptional communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.