Data Scientist

This position can be based remotely anywhere in the USA, or based in Tonawanda, NY.

Linde is a leading global industrial gases and engineering company with 2019 sales of $28 billion (€25 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 and protect our planet.

The company serves a variety of end markets including aerospace, chemicals, food and beverage, electronics, energy, healthcare, manufacturing and primary metals. Linde's industrial gases are used in countless applications, from life-saving oxygen for hospitals to high-purity & specialty gases for electronics manufacturing, hydrogen for clean fuels and much more. Linde also delivers state-of-the-art gas processing solutions to support customer expansion, efficiency improvements and emissions reductions.

For more information about the company and its products and services, please visit www.linde.com.

Position Summary

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!

The Data Scientist 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.

Key Accountabilities

• 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

Basic Requirements

• MS or higher degree in Industrial Engineering, Chemical Engineering, Computer Science, Statistics or Operations Research with a specialization in data science or analytics
• 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

Preferred Qualifications

• MS or higher degree in Industrial Engineering, Chemical Engineering, Computer Science, Statistics or Operations Research with a specialization in data science or analytics
• 5+ years of relevant industry experience
• Deep knowledge of machine learning and/or operations research theory with practical development experience
• Strong programming skills in Python or at least one major programming language
• Demonstrated ability to follow software development best practices
• Ability to develop, implement and support production level data science pipelines
• Experience with APIs and microservices
• Experience with web application development
• Experience deploying solutions to cloud providers, preferably Azure
• Experience designing and using relational databases, NoSQL data stores and data historians
• Experience with data visualization
• Experience with Docker and Linux environments

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.