Company: Air Liquide
Location: Newark, DE
Web: www.airliquide.com/en/home.html


Air Liquide is the world leader in gases, technologies and services for Industry and Health.

Mission: Working in close collaboration with end-users in Air Liquide's Operations, develop data mining methods and tools that can be used for improving efficiency, reliability, and overall business effectiveness.

Responsibilities:

Drive innovation in research projects focused on the development of descriptive and predictive analytical methodologies and tools using historical and real-time process and business data:

• Collaborate with operating entities to define the problem and business requirements, translate it into functional design specifications and develop solutions. Identify, evaluate and select industrial or academic partners as needed.
• Develop solutions using methods including but not limited to clustering, regression, time series analysis, and decision trees to analyze historical data from global operations.
• Program, implement, test and verify performance of these methodologies by prototype tools using Matlab, Javascript, Python, R, SAS or similar development environments.
• Define industrial tools based upon the performance verification, ensure transfer of the tool to the operational entities and provide support to the industrialization phase
• Train team members on details of methodologies implemented, thus ensuring sustainability of the solution for Air Liquide.
• Challenge data mining and statistical analysis methods currently used at Air Liquide, namely by performing benchmarks with off-the-shelf tools to ensure best-in-class performance of Air Liquide
• Apply data mining and analytics expertise to Air Liquide business development.

 
Also

• Work within a multi-disciplinary and international team including internal and external partners.
• Maintain international cooperation with R&D counterparts globally.
• Contribute by writing technical research papers and patents to capture know-how and promote Air Liquide research. Establish reputation for quality and timeliness of technical communications.
• Transfer "know-how". Manage technical communication between R&D, outside partners and Air Liquide partners. Manage technology transfer to R&D, partners and other Air Liquide entities.

 
Requirements:
Candidates should have a M.S. or Ph.D. degree in Computer Science, Marketing Analytics, Operations Research or a related field; three to five years of industrial experience is preferred. A strong background in applied mathematics is required, including knowledge and experience in statistics, machine learning, and advanced regression techniques. Experience with Excel/VBA, Matlab, and/or statistical analysis tools such as R or SAS is required. Strong programming skills in C++, Python, Javascript or similar language are required, and experience in database modeling and a working knowledge of SQL is preferred.

The candidate should be able to guide internal customers to define their need, translate it into functional design specifications, and develop a solution in cooperation with our industrial IT group. The candidate should be a self-starter able to work independently, be adaptable to changing conditions and priorities, and handle multiple tasks. Excellent communication skills with a strong team attitude are also highly desirable.

_Contact_:
brian.besancon@airliquide.com or
glen.hobbes@airliquide.com