大数据智能化副总监.

• Strategy Development and Execution:
  • Develop and execute the company's big data and intelligent strategy, work closely with business units to identify and prioritize data-driven opportunities.
  • Evaluate emerging technologies and trends and apply them to the company's business to maintain industry leadership.
• Data Platform Construction and Management:
  • Lead the design and construction of a company-level big data platform to ensure data security, reliability and scalability.
  • Establish a data governance framework, formulate data standards and management specifications, and ensure data quality and consistency.
• Intelligent Solution Development and Deployment:
  • Lead the development and deployment of intelligent solutions, such as:
  • Oil and Gas Exploration: Use machine learning and artificial intelligence technologies to optimize seismic data processing and interpretation and improve exploration success rates.
  • Oil and Gas Development: Use data analysis and predictive models to optimize reservoir development plans and improve recovery rates.
  • Oil and Gas Production: Use the Internet of Things and sensor technology to achieve equipment status monitoring and predictive maintenance to improve production efficiency and safety.
  • Oil and Gas Operations: Use data analysis and optimization algorithms to optimize supply chain management, logistics transportation and sales forecasts to reduce operating costs.
  • Decision-making support platform: Identify and collect key decision points, design and collect relevant data by inverting the decision-making process, and finally realize intelligent decision-making support capabilities for key decision points.
  • Team building and management:
  • Build and manage a high-performance big data and intelligent team to attract, cultivate and retain top talents.
  • Create an innovative and collaborative team culture and encourage team members to continue learning and growing.

skills and experience required.

• Educational background:
  • Master degree or above in computer science, data science, statistics, mathematics or related majors.
• Work experience:
  • More than 10 years of experience in big data, artificial intelligence or related fields, more than 5 years of team management experience.
  • Candidates with experience in the oil and gas industry are preferred.
• Professional skills:
  • Proficient in big data technology stacks, such as Hadoop, Spark, Hive, Kafka, etc.
  • Familiar with machine learning and artificial intelligence algorithms, such as deep learning, reinforcement learning, natural language processing, etc.
  • Possess data analysis and data visualization capabilities, and be able to transform complex data into easy-to-understand insights.
  • Familiar with cloud computing platforms, such as AWS, Azure, GCP, etc.