Job Description:

Linde Inc.
Data Scientist
The Woodlands, TX, United States | req17816
What you will enjoy doing*

• This is a unique opportunity to collaborate with a diverse team of technical experts to solve a variety of complex problems in a fun and dynamic environment. With flexibility to use the latest tools and technology, imagination and creativity are the only limitations on your impact


• You will be a member of the Digital Americas organization. Digital Americas is a multi-disciplinary technical team comprised of data scientists, software engineers and operations research experts- the team serves Linde's global business units and is tasked with creating analytics and decision support software solutions for complex problems


• You will collaborate with business partners to understand product requirements and define appropriate technical solutions


• Lead technical development of cutting-edge analytics and decision support tools


• Stay abreast of new technology and actively contribute ideas for new programs


• Balance development of new solutions with replication and support of existing tools

What makes you great

• BS in Industrial Engineering, Chemical Engineering, Computer Science, Statistics or Operations Research with a specialization in data science or analytics; Master's degree preferred


• Excellent analytical and problem-solving skills


• Passion for technology with a strong emphasis on user experience and business value


• Ability to succinctly convey complex solutions to business stakeholders and executive leadership


• Willingness to work in an agile and dynamic environment


• Availability to travel up to 30%, domestic and international


• Deep knowledge of machine learning and/or operations research theory with practical development experience is preferred, but not required, as well as strong programming skills in Python or at least one major programming language, and experience with data visualization


• Experience deploying solutions to cloud providers, preferably Azure, as well as designing and using relational databases, NoSQL data stores and data historians is also preferred

Why you will love working with us
Linde is a leading global industrial gases and engineering company with 2023 sales of $33 billion. We live our mission of making our world more productive every day by providing high-quality solutions, technologies and services which are making our customers more successful and helping to sustain, decarbonize and protect our planet.

The company serves a variety of end markets such as chemicals & energy, food & beverage, electronics, healthcare, manufacturing, metals and mining. Linde's industrial gases and technologies are used in countless applications including production of clean hydrogen and carbon capture systems critical to the energy transition, life-saving medical oxygen and high-purity & specialty gases for electronics. Linde also delivers state-of-the-art gas processing solutions to support customer expansion, efficiency improvements and emissions reductions.

Linde employees learn and abide the Linde Code of Ethics and Code of Conduct by demonstrating honesty, integrity, professionalism in all communications, actions, and decisions.
What we offer you!
At Linde, the sky is not the limit. If you're looking to build a career where your work reaches beyond your job description and betters the people with whom you work, the communities we serve, and the world in which we all live, at Linde, your opportunities are limitless. Be Linde. Be Limitless.

Every day is an opportunity: an opportunity to learn, to grow, to share success, and to contribute to one of the world's leading industrial gas and engineering companies. Seize the opportunity: take your next step with us and join our team.

In addition to competitive compensation we offer a wide range of medical options to suit everyone's needs. Other benefits include; educational and professional development, employee discount program, 401K, pension plan, and life insurance, just to name a few.
Have we inspired you? Let's talk about it
We are looking forward to receiving your complete application.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, pregnancy, sexual orientation, gender identity or expression, or any other reason prohibited by applicable law.

Linde Inc. acts responsibly towards its shareholders, business partners, employees, society and the environment in every one of its business areas, regions and locations across the globe. The company is committed to technologies and products that unite the goals of customer value and sustainable development.

*The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Therefore employees assigned may be required to perform additional job tasks required by the manager.This is a unique opportunity to collaborate with a diverse team of technical experts to solve a variety of complex problems in a fun and dynamic environment. With flexibility to use the latest tools and technology, imagination and creativity are the only limitations on your impactYou will be a member of the Digital Americas organization. Digital Americas is a multi-disciplinary technical team comprised of data scientists, software engineers and operations research experts- the team serves Linde's global business units and is tasked with creating analytics and decision support software solutions for complex problemsYou will collaborate with business partners to understand product requirements and define appropriate technical solutionsLead technical development of cutting-edge analytics and decision support toolsStay abreast of new technology and actively contribute ideas for new programsBalance development of new solutions with replication and support of existing tools

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