The company is looking to solve the problem of improving operations in all facets of the manufacturing facility and the mill campus through large data analytics.
Requirements
- Understanding of machine-learning and operations research
- Knowledge of DCS systems, Data Historians, and Data Analytics software such as: dataParc, Seeq, Python
- Strong math skills (e.g. statistics, algebra)
- Computer literate with proficiency in Microsoft Word, PowerPoint, Excel, Seeq, and ML/AI software
- Ability to gather information and perform detailed analysis and problem solving
- Ability to create reports for review by upper management
- Proficiency in ML/AI software
Responsibilities
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Leverage programming skills to develop automated systems that help improve business operations
- Build predictive models and machine-learning algorithms
- Present information using data visualization techniques
- Collaborate with engineering and production teams
Other
- Post-secondary educational degree (2 to 4-year degree from college, university, technical school, military, vocational or other advanced educational institution) REQUIRED
- Travel as required to support development of other mill locations
- Excellent communication and presentation skills
- Ability to read, analyze, and interpret technical procedures, manuals, regulations, and codes
- Ability to communicate effectively with suppliers, contractors, employees and outside officials to the company
