AI Data Scientist

At Air Products, our purpose is to bring people together to reimagine what’s possible, collaborate and innovate solutions to the world’s most significant energy and environmental sustainability challenges.

Grow with us as we embark on building tomorrow together by being the safest, most diverse and most profitable industrial gas company in the world.

Experience, qualification, and soft skills, have you got everything required to succeed in this opportunity Find out below.

Reimagine What’s Possible

The Hard-working Systems Team (SST) is a part of the Modeling and Data Sciences technology organization at Air Products.

SST supports key initiatives and improves the competitiveness and operational efficiencies in our existing and next-generation offerings by developing novel digital solutions and technologies in condition monitoring, reliability / risk modeling, dynamic modeling, IIoT, and new technology development & evaluation.

SST delivers digital solutions for supporting operating assets, businesses, R&D, and next-generation environmentally responsible energy technologies.

SST works in close collaboration with the Engineering, Technology, and Operational teams to deliver driven world-leading solutions.

The successful candidate is responsible for developing, conducting, and participating in technical studies involving industrial gas process and product development with an emphasis on next generation AI / ML technologies development for Condition monitoring, Process modeling, simulation, and digital solution development.

The candidate will be leading the development of digital solutions and AI models for operational. technology and engineering analytics projects;

work together with other members in the development of digital solutions for plant data. The candidate will work as part of a multi-functional research, engineering, and operation team, developing conceptual and detailed designs of AI models, simulation systems, and digital solutions.

This position requires a broad engineering background and a deep understanding of computational technologies including AI, machine learning, simulation, data technologies and cloud computing.

The candidate will be required to solve a diverse variety of problems, which involve the use of advanced AI / M algorithms, simulation, and data technologies applied to engineering, technology and operational processes.

Existing project areas where the candidate can expect to be involved include :

• Support / Lead development of data analytics programs in technology, operation and engineering using next gen AI models.
• Be responsible for and lead the development work of existing and new projects working with outside software development specialists, responsible for their schedule, performance, and product delivery.
• Work with operational teams and other team members to advance and support operational analytics platforms for global AP assets.
• Advance the computational capabilities of AP in technology, operational data analytics, digital twins, and new IIoT based operational data technology development.
• Collaborate with business / product owners to understand the business needs and create ideas to support these needs and offer solutions.
• Write technical and scientific reports, project proposals, conference papers, and speaking publicly at academic and industrial events.

Skills

The candidate will learn sophisticated computational technology libraries and software as needed for specific projects so that the following skills will be helpful :

• Experience in AI / ML model development in R / Python
• Experience in developing applications to aid data-driven decisions using ML / AI libraries, database solutions, and cloud / HPC computing.

Experience in time-series and plant data analysis

• Familiarity with the state-of-the-art AI / Gen AI modeling methods / techniques
• Interest in understanding business needs and passion in developing programs to support those needs.

Qualifications / Skills

• Position requires an advanced degree in Computer Science / Engineering with background in AI, Gen AI, engineering time series analysis, plant data systems, and data sciences.
• Programming skills in Python / R platforms, use of data science libraries, and cloud and GPU technologies
• Track record of developing data analytics / hybrid first principal AI / ML based solutions for technology, plant data analysis, operational problems using advanced machine learning and data technologies
• Creative & innovative with a positive demeanor
• Ability to function well in a multi-disciplinary team environment.
• Strong verbal and written communications skills

INDGEM

We are the world’s largest hydrogen producer with over 80 years of industrial gas experience. We are hydrogen and industrial gas experts delivering safe, end-to-end solutions, investing in real, clean energy projects at scale, and driving the industry forward to generate a cleaner future.

At Air Products, we work in an environment where we put safety first, diversity is essential, inclusion is our culture, and each person knows they belong and matter.

To learn more, visitAbout Air Products.

We offer a comprehensive benefits package including paid holidays and vacation, affordable medical, dental, life insurance and retirement plans.

You will be eligible for benefits and also be 100% vested in your retirement benefits on your first day of employment.

We are an Equal Opportunity Employer (U.S.). You will receive consideration for employment without regard to race, color, religion, national origin, age, citizenship, gender, marital status, pregnancy, sexual orientation, gender identity and expression, disability, or veteran status.

Air Products is committed to working with and providing a reasonable accommodation to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation to search for a job opening or to submit an online application, please e-mail us at talent@airproducts.

com. General application status inquiries are not answered by this mailbox rather you’ll receive an e-mail directly from our Career Center and / or the Talent Acquisition Specialist.

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