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Data Scientist

Company: Linde
Location: Indianapolis
Posted on: January 17, 2022

Job Description:

About Praxair Surface Technologies

Praxair Surface Technologies (PST), a Linde company, offers a comprehensive array of high-performance coatings and technologies to the aviation, energy and other industries. By continuously advancing coatings technologies, PST helps customers improve environmental performance, decrease energy consumption, extend component life, improve productivity, minimize downtime, reduce operating costs and produce high-quality products. Additional information can be found at .

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 PST Digital team, working in collaboration with Linde Digital Americas organization. The team is a multi-disciplinary technical team comprised of data scientists, software engineers and operations research experts. The team serves PST'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


    • BS 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

        PST is a supplier which abides by the International Traffic in Arms Regulations (ITAR). As such, persons considered for this position must be either a U.S. Citizen, Permanent Resident (green card holder) or otherwise classifiable as a U.S. person under relevant ITAR regulations.

        We offer a comprehensive benefits program that supports our employees' and their families' wellbeing and provides the tools and resources our employees need to make well-informed decisions about their physical and financial future.

        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.

Keywords: Linde, Indianapolis , Data Scientist, Other , Indianapolis, Indiana

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