At Air Products, we reimagine what’s possible. By tapping into the motivation of our people and our collective experience, we create the ideas and innovations that drive us forward. When we come together – where every voice is heard and everyone knows they belong and matter – we create solutions that launch people into space, support lifesaving care in hospitals, and enable the construction of groundbreaking, world scale production facilities.
Reimagine What’s Possible
POSITION SUMMARY
- The CO-OP will be part of a technology team for Air Products new technology center in Dhahran Techno Valley (DTV) in Saudi Arabia.
- The candidate will work on Reliability Modeling techniques for applications in Oil & Gas Process Plants.
- Primary focus will be on learning reliability theory, data collection and preparation, writing Python code and modules, and preparing best practices in applying the models and algorithms for industrial applications.
- Understand and validate the underlying methods in Reliability Modeling (Cox proportional hazard) algorithms and assess for use in the application.
- Troubleshoot problems in installation of firmware and setting up of a data pipeline.
- Collect data from plant operations and interpret and prepare them for evaluation by the model.
- Write basic Python code for automating the modeling task using specific python libraires for reliability models.
- Apply algorithms to field data, arrive at performance metrics and methods to improve performance.
- Document and present test cases and best practices.
- Familiarity with probability theory, reliability models, or Cox proportional hazard model.
- Hands-on experience in coding in Python programming language is required, or alternatively, coding experience with C, C++, VBA or R.
- Previous experience in of any of data processing, statistical modeling, data science/ machine learning, reliability modeling and failure analysis.
Founded in 1940, Air Products is a world-leading industrial gases company and has a proud history of innovation, operational excellence, with an unwavering commitment to safety and environmental stewardship. Working together, we are taking our passion and diverse backgrounds forward to reimagine what’s possible and generate a cleaner future for our customers, our communities, and the world.
Skills Required
- Hands-on coding experience in Python (or alternatively C, C++, VBA, or R).
- Familiarity with probability theory and reliability models, including Cox proportional hazards.
- Previous experience in data processing, statistical modeling, data science/machine learning, reliability modeling, or failure analysis.
- Ability to collect, interpret, and prepare plant operations data for modeling.
- Experience troubleshooting firmware installation and setting up data pipelines.
What We Do
Air Products (NYSE:APD) is a world-leading industrial gases company in operation for over 80 years focused on serving energy, environmental, and emerging markets. The Company has two growth pillars driven by sustainability. Air Products’ base business provides essential industrial gases, related equipment and applications expertise to customers in dozens of industries, including refining, chemicals, metals, electronics, manufacturing, and food. The Company also develops, engineers, builds, owns and operates some of the world's largest clean hydrogen projects supporting the transition to low- and zero-carbon energy in the heavy-duty transportation and industrial sectors. Additionally, Air Products is the world leader in the supply of liquefied natural gas process technology and equipment, and provides turbomachinery, membrane systems and cryogenic containers globally. The Company had fiscal 2023 sales of $12.6 billion from operations in approximately 50 countries and has a current market capitalization of about $65 billion. Approximately 23,000 passionate, talented and committed employees from diverse backgrounds are driven by Air Products’ higher purpose to create innovative solutions that benefit the environment, enhance sustainability and reimagine what's possible to address the challenges facing customers, communities, and the world.
